Podcasts about HTML

Scott and Wes sit down with Jake Archibald from Mozilla to unpack how web standards actually get made at Firefox. From browser features and developer feedback to the drama around the Prompt API. They discuss Interop 2026, the future of web APIs, and what it's really like shaping the web after a career spanning both Google and Mozilla. Show Notes 00:00 The Importance of Sunscreen 02:29 Welcome to Syntax! 04:35 Transitioning from Google to Mozilla 06:00 Brought to you by Sentry.io 06:43 Mozilla's Current Position and Development Priority HTML Sanitizer API 08:35 Feature Implementation and Developer Feedback 13:12 JPEG XL and AVIF: The Future of Image Formats 18:06 Balancing User Features and Web Standards 20:56 Navigating the AI Translation Dilemma 23:03 Understanding the Prompt API Controversy 32:56 Rethinking the Future of Prompt APIs 39:00 Exploring Local Models and User Control 44:04 The State of Firefox DevTools 45:42 Browser Stability and Developer Editions 47:39 Introduction to the Heading Offset API 51:14 Interop APIs and Their Importance Headingoffset & Headingreset attributes 54:10 Developer Feedback and Browser Features Developer Signals 58:05 Animating Display None and Its Challenges 01:00:44 HTML and Canvas: Opportunities and Concerns 01:04:01 Sick Picks + Shameless Plugs Sick Picks Scott: Wes: Jake: Clues by Sam Shameless Plugs Scott: Wes: Jake: Bluesky Mastodon Threads LinkedIn YouTube X Insatgram Tiktok Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

In this episode, Andrew chats with Adriano Carollo at PSConfEU about community, PowerShell Universal, AI, and what happens when you stop lurking and start talking to people. Adriano shares how PowerShell helped him grow from sysadmin into web apps, automation, and open source-style contribution, while Andrew reflects on learning, AI, and why enthusiasm still matters.   Key Takeaways:  · Community accelerates growth. Adriano came to PSConfEU after hearing Andrew encourage listeners to engage, and the payoff was immediate.  · PowerShell Universal can open unexpected doors. Adriano describes using it daily to learn web development concepts like JavaScript, HTML, and React through PowerShell.  · AI is most useful when it supports learning instead of replacing it. Both Andrew and Adriano talk about using AI for research, syntax help, documentation, and personal workflows while still valuing hands-on problem solving.  Guest Bio:  Adriano Carollo is a Berlin-based system administrator and PowerShell enthusiast who uses PowerShell Universal daily. He is active in the PowerShell Universal Discord community and is exploring automation, web apps, self-hosting, and entrepreneurship.  Resource Links:  PDQ Connect:https://www.pdq.com/pdq-connect/ PowerShell Scanner for PDQ Connect:https://www.pdq.com/blog/the-powershell-scanner-has-arrived-in-pdq-connect/ PowerShell Universal:https://powershelluniversal.com/ PSConfEU:https://psconf.eu/  PDQ Community Discord:https://discord.gg/pdq Adriano C. https://linkedin.com/in/adriano-c-501203213 The PowerShell Podcast on YouTube: https://youtu.be/qLYqUF9gD9s

Today we are talking about Test Driven Development, ebooks, and Drupal with guest Oliver Davies. We'll also cover Juicer Social Feed as our module of the week. For show notes visit: https://www.talkingDrupal.com/557 Topics What Is Test Driven Drupal Why Automated Tests Matter How TDD Works AI and Test Quality Balancing Test Coverage When to Write Tests Why Write the Book Why Write an Ebook From Email Course to Ebook Ebook vs Print Tradeoffs Who the Book Helps What You Will Learn Keeping Content Updated Publishing Tools Workflow Lessons and Drupal Changes Podcast and Future Books Mob Programming Explained Free Ebook and Wrap Up Resources Juicer io Drupal 11: The Upgrade Experience I've Been Waiting For codethatships Test-Driven Drupal Sculpin Guests Oliver Davies - oliverdavies.uk opdavies Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Scott Falconer - managing-ai.com scott-falconer MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to embed social feeds into your Drupal website? There's a module for that. Module name/project name: Juicer Social Feed Brief history How old: created in Mar 2026 by Denis Omerović (drupalchille) Versions available: 1.0.2, that works with Drupal 10.3 or 11 Maintainership Actively maintained (version released today!) No open issues Usage stats: 4 sites Module features and usage This module embeds an aggregated social media feed from Juicer.io directly into Drupal as a configurable block. It natively supports content from Instagram, LinkedIn, Facebook, X (Twitter), TikTok, Bluesky, YouTube, and more. Traditionally, displaying feeds from platforms like Facebook, X, or Instagram requires creating developer accounts, managing rotating OAuth tokens, and keeping up with constantly shifting API restrictions. Juicer handles all API authentication on its platform, shielding your website from sudden breaking changes by individual social networks. To use this module, you will need an active account on Juicer.io. They offer both free and paid tiers depending on how many sources you want to aggregate and how frequently you need the feed to sync. The module is created and maintained by the official Juicer.io team. That should ensure that the module is closely aligned with the product's features and any potential API changes over time. The embedded feed is made available as a Drupal block, to make it easy to control where it should appear on your site. When placing the Juicer block, the UI exposes several user-friendly settings: Feed Slug: Just paste your unique Juicer feed ID to establish the connection. Post Limit: Control exactly how many items populate initially. Source Filtering: If your Juicer account aggregates five networks, but you only want to show LinkedIn posts on a specific page, you can filter down to a single network right inside the block settings. SEO/Semantic Control: You can set titles/subtitles and choose the exact heading level hierarchy ( through ) to ensure your pages remain semantically correct and accessible. I did get a chance to test out the module and the service today, and I can tell you from experience, it's a huge improvement on having to create and pull in feeds directly. I did notice that the block didn't show up in the Drupal Canvas component library, but I was able to determine that two lines of code to declare the block as FullyValidatable were all that was needed. So I opened a Feature Request to add that, and it was merged in and a new release cut in less than an hour. So it's now Drupal Canvas compatible too! It's worth pointing out that the standard Juicer's embed script loads HTMX, which conflicts with the version of HTMX included in Drupal 11 core. As a result, the module fetches feed HTML directly from the Juicer API and includes a minimal HTMX shim to prevent errors. John, you nominated this module, why don't you start us off by telling us about how you got started using it?

Should you convert your website into Markdown to help Large Language Models (LLMs) understand your content better? Is "llms.txt" worth the effort for SEO? In this episode of Search Off the Record, Martin Splitt and John Mueller from the Google Search Relations team dive deep into the history of Markdown, its rise in the AI era, and whether it holds any real weight for search engine discovery. In this episode, you'll learn: The Origins of Markdown: From John Gruber and Aaron Swartz to its status as the "language of GitHub." Markdown vs. HTML: Why the "cleanliness" of Markdown is tempting for developers but potentially risky for site structure. LLMs & Markdown: Do AI crawlers actually prefer Markdown, or are they already experts at parsing HTML? The "Parallel Version" Trap: Why creating a separate text/Markdown version of your site for AI can lead to the same maintenance nightmares as dynamic rendering. Use Cases that Make Sense: When Markdown is actually superior (like developer documentation) and when it's totally unnecessary (like your shoe catalog). Key Takeaways for SEOs & Developers: Crawlers are built for the "messy" web: Google and other engines have decades of experience parsing HTML. Don't sacrifice discovery: Headers, footers, and sidebars in HTML provide critical context for site structure that a raw Markdown file might lack. Maintenance is king: Avoid the complexity of maintaining two versions of the same content. Chapters 0:00 - Introduction: Should we all be using Markdown? 3:45 - The history and purpose of Markdown. 7:15 - Why developers love it: Separation of style and content. 11:20 - Do crawlers need Markdown to understand your site? 14:50 - The danger of "parallel versions" and dynamic rendering lessons. 17:30 - Discussing the "llms.txt" proposal and AI agents. 21:00 - Where Markdown actually makes sense (Developer Docs). 24:00 - Final verdict: Stick to HTML for the web. Resources Mentioned: Google Search Central: https://developers.google.com/search Are you using Markdown for your site's frontend or just as a backend source? Let us know in the comments! Episode transcript →  https://goo.gle/sotr111-transcript Listen to more Search Off the Record → https://goo.gle/sotr-yt Subscribe to Google Search Channel → https://goo.gle/SearchCentral  Search Off the Record is a podcast series that takes you behind the scenes of Google Search with the Search Relations team.  #SOTRpodcast #SEO #GoogleSearch Speakers: Martin Splitt, John Mueller

A coffin lid scratched from the inside, a stalker hiding in the basement, and a plate of "fresh venison" served by a man who was never a hunter — Redditors share the true moments that still keep them up at night.EPISODE BLOG PAGE (includes sources): https://weirddarkness.com/RedditHorrorsREAD or DOWNLOAD the full transcript of this episode: https://weirddarkness.tiny.us/4ywsvu9vLISTEN ON PODCAST APPS: Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://weirddarkness.com/wdapps*No AI Voices Are Used In The Narration Of This Podcast*SOURCES and RESOURCES:“Creepy True Occurrences From Redditors” posted at Factinate.com: https://weirddarkness.tiny.us/h9zz8vka(Over time links may become invalid, disappear, or have different content. I always make sure to give authors credit for the material I use whenever possible. If I somehow overlooked doing so for a story, or if a credit is incorrect, please let me know and I will rectify it in these show notes immediately. Some links included above may benefit me financially through qualifying purchases.)WeirdDarkness® is a registered trademark. Copyright ©2026, Weird Darkness.Originally aired: November, 2021Here's the blog synopsis in plain text, ready for your review pass before HTML conversion.Weird Darkness gathers dozens of true creepy stories submitted by Redditors, ranging from a grandmother buried alive in a backyard coffin to phantom police officers, a haunted hotel painter, a 1980s kidnapping attempt, and a dinner of "fresh venison" served by a cannibal.It opens with a coworker's family story about exhuming a grandmother who had been buried in a wooden box in the backyard, as was once customary. When the family lifted the lid to move her to a cemetery plot years later, they found claw marks covering the inside of the coffin — she had been buried alive.From there, a babysitter hears pans falling in the basement after putting the children to bed and calls the police expecting a single patrol officer. A full SWAT team arrives at the door instead, because the dispatcher heard a second phone on the line hang up after the call ended. A man wanted for multiple assaults had been listening from the basement extension.A secluded spring campground follows, where a father and his friends befriended a quiet neighbor living out of a makeshift truck camper. Days later, driving out, they spotted him hanging from a tree beside his untouched campsite, a note pinned to the trunk with a buck knife — the suicide had happened at the father's favorite camping spot, the same one where he finally told his children the story years later.Next comes a twelve-year-old girl living in a backyard trailer who heard footsteps crossing the metal roof at night, always when she was alone. Months later she woke to find the trailer sweltering, the heater cranked to full blast, and fled on instinct; investigators later found the door lock tampered with and a kitchen knife hidden behind a chair beside the heating controls, where the staring neighbor had apparently crouched in wait.After the first break, a traveler in Taiwan steps into an elevator near a night market and stops on a pitch-dark, abandoned floor that shouldn't exist. The building's fourth floor — omitted from the panel entirely, in keeping with Chinese numerical superstition — had been sealed after a hair salon employee died by suicide there, and the elevator had been professionally reprogrammed to never stop on it. It sometimes does anyway, and riders report a figure in a gown moving toward the doors.Then a 2 a.m. street fight ends with a stabbing, a daughter catching her bleeding stepfather on the porch, and an answering machine message recorded at the exact time of the attack: a school friend across town, crying, describing a dream of screaming, a fight, and her friend covered in blood — in the late 1980s, long before cell phones could have carried the news.A college student renting a basement room recounts his dog growling at one corner of the room, followed by the small dirt-floored closet under the stairs creaking open on its own with deliberate slowness, leaving him frozen in the dark hallway for five full minutes.A seven-year-old girl visiting her mother's best friend watches a burned family — a mother, a teenage boy, and two younger girls — walk the house and beckon her to come with them. Years later the friend admitted the family had moved out over hauntings: baby toys scattered overnight, blankets and pillows arranged on the floor as if people had slept there.A smashed flower pot follows, found twenty feet from its shelf in the middle of a family room floor with no dirt trail, as if it had been carried and dropped straight down. Then two brothers named Jack and Tom each spend a night silently furious at the other's loud guests, only to meet in the hallway and discover the living room full of chattering old people belonged to neither of them — the room stood empty, smelling of musk.A college party flips from paranormal dread to absurdity when a bleeding, pantsless man with wild hair forces his way through the door screaming "please"; the supposed intruder turned out to be a friend of a friend on a catastrophic acid trip who had lost his pants running through a field.The block closes with a runner who caught a prospective neighbor — a man who had complimented his physique two days earlier — standing at his bedroom window at midnight, having entered the house earlier to adjust the blinds for a better view. The chase across gravel driveways ended with a written confession, a photographed license plate, and, a full year later, a knock on the door from the same man, apologizing.Out of the second break comes a Hollywood Hills doorstep in the early 1980s: a distraught woman babbling about blood, two LAPD officers who collect her within ten minutes, and then two more officers thirty minutes later — the ones actually dispatched to the call, with no record of who the first pair were or where they took her.The night crew of a 24-hour Subway describes their resident "SubGhost," blamed for disembodied conversations, crashing noises, items sliding off counters, and a new automatic paper towel dispenser that unspooled an entire roll, sheet by sheet, in an empty room.Three children watch a white figure of a man sit atop a telephone pole, grinning at them, before he stands, jumps, and vanishes before reaching the ground. Then a basement-apartment tenant describes a man watching him through the window for ten minutes, followed weeks later by an air conditioner cover pried off in the night — and a police department that could do nothing until someone actually broke in.A newspaper carrier on a rural route in 2000 describes a drenched man in a white shirt charging out of a rain-filled ditch at 2 a.m. with what looked like a hatchet in his hand; the man took his own life within the hour, and the carrier had to pound on a farmhouse door to report it because his Motorola flip phone had no signal.A bus rider chats with an oddly unsettling woman at the stop, boards an empty bus, and hears "Hey! Remember me?" from a little girl who resembles the woman exactly — on a bus the rider is certain was empty.The episode then travels to South Africa's Eastern Cape in July 2010, where a humanitarian worker and a missionary named Piet arrive at a Xhosa village to find it deserted. A naked woman covered in cuts, missing an ear, and running on all fours charged their truck, screeching and clawing at the windows as they fled. The villagers later said only that "a bad presence" had been in the village and was now gone.Gentler hauntings follow: a clock radio scraping across a desk to face a grandson and playing opera — the late grandfather's wake-up music of choice — two weeks after the funeral; a glass bowl that shattered downstairs during a sleepover and was found already swept up, its pieces gathered into another bowl on the table; and a dying grandfather whose eyes opened wide on his final breath as he smiled, looking happier than he had in years.The dread returns with a woman home alone who hears something working at her front door lock and sees two silhouettes — one at the door, one at the living room window — standing motionless, watching her watch them. They vanished before help arrived, and she found the basement window partially kicked in the next morning.A Sacramento man recounts surviving an attempted kidnapping around age nine or ten: a white van stopped beside a late-night Frisbee game, the sliding door opened, and a man in black flew out on a rigged telescoping harness operated from inside, missing his grab by inches. The three boys hid on a school roof for nearly an hour while the van circled, searching.A small-town yard sale yields a dented silver cigarette case for two dollars; months later the same elderly seller has the identical case — same dent, same brand of cigarette inside — while the original has vanished from the buyer's nightstand drawer. A man recalls childhood dreams of gripping toys hard enough to wake up holding them, including the Skeletor figure his family swore they never bought.Then a sixteen-year-old new driver and her four-year-old half-sister are stalked across town by a purple-faced man in a white pickup truck who blocked intersections, revealed a gun under his shirt, rammed their car toward oncoming traffic, and drew a finger across his throat. The older sister's gas station escape plan — coaching the four-year-old to jump out and run to the counter — ended the pursuit, though polic

If you spent too much time prompting Claude's Fable 5 before it likely goes away to subscribers in 10 days, you might have missed some AI gems.

This is a recap of the top 10 posts on Hacker News on June 10, 2026. This podcast was generated by wondercraft.ai (00:30): macOS Container MachinesOriginal post: https://news.ycombinator.com/item?id=48469658&utm_source=wondercraft_ai(01:59): Building an HTML-first site doubled our users overnightOriginal post: https://news.ycombinator.com/item?id=48475483&utm_source=wondercraft_ai(03:28): German ruling declares Google liable for false answers in AI OverviewsOriginal post: https://news.ycombinator.com/item?id=48470248&utm_source=wondercraft_ai(04:57): πFSOriginal post: https://news.ycombinator.com/item?id=48480978&utm_source=wondercraft_ai(06:27): I'm Eric Ries, author of "The Lean Startup" and new book "Incorruptible" – AMAOriginal post: https://news.ycombinator.com/item?id=48477135&utm_source=wondercraft_ai(07:56): Mercedes‑Benz starts large‑scale production of electric axial flux motorOriginal post: https://news.ycombinator.com/item?id=48472877&utm_source=wondercraft_ai(09:25): PgDog is funded and coming to a database near youOriginal post: https://news.ycombinator.com/item?id=48476466&utm_source=wondercraft_ai(10:54): AWS Bedrock to require sharing data with Anthropic for Mythos and future modelsOriginal post: https://news.ycombinator.com/item?id=48473166&utm_source=wondercraft_ai(12:24): Chrome is looking to permanently drop MV2 extensionOriginal post: https://news.ycombinator.com/item?id=48471970&utm_source=wondercraft_ai(13:53): Claude Desktop spawns 1.8 GB Hyper-V VM on every launch, even for chat-only useOriginal post: https://news.ycombinator.com/item?id=48479452&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

Vibe coding for teachers means describing what you want in plain English and letting AI write the code — no coding background required. 2021 Kentucky Teacher of the Year Donnie Piercey joins Vicki Davis to show how any teacher can build custom classroom tools that save real time. Donnie shares the small-problem-first method he used to build printable daily student task lists, auto-translate his classroom newsletter into five languages, and create self-checking games — plus the dead-simple troubleshooting trick of screenshotting the error and pasting it back to the AI. Vicki shares how she rebuilt a unit into a game that raised her eighth graders' scores five points with zero retests. In this episode, you'll learn: - What vibe coding actually is (and what it isn't) - How to pick the one small problem worth solving first - How to fix broken code without knowing how to code - Why publishing to HTML lets your tool work anywhere - How AI tools like Gemini, ChatGPT, Canva Code, and Google Apps Script fit in Full show notes, resources, and transcript: https://www.coolcatteacher.com/e940  If this episode gave you an idea, share it with a teacher friend and leave a review wherever you're listening. Sponsor: Today's show is sponsored by EF Educational Tours and their Career Readiness Tours. Lead your students on an international EF Career Readiness tour and show them what a career in fields like agriculture, hospitality, or automotive engineering could look like. Imagine your students connecting with entrepreneurs at the London School of Economics, getting a behind-the-scenes look at Toyota's manufacturing in Japan, or touring a French culinary school to see future chefs in action. If you've been trying to break through to your students and show them how to turn their career dreams into reality, browse EF's collection of Career Readiness tours at eftours.com/ready.

Most people think selling software means building an app. It doesn't. A static HTML, CSS, and JS file solves real problems for local businesses, costs nothing to build with Claude's free tier, and sells for $200 a pop with the right framing. This episode walks through the whole process — what kinds of businesses buy this, what you actually hand them, and how to price and pitch it without a portfolio or a product page.

En este episodio extraído de nuestra mentoría mensual, desmentimos el caos comunicacional y el "hype" que hay alrededor de las nuevas actualizaciones de Inteligencia Artificial como Claude y ChatGPT.Si abrimos cualquier portal de noticias, parece que la IA dejará sin empleo a diseñadores, fotógrafos y programadores. Sin embargo, la realidad es otra: la IA solo le quitará el trabajo a las personas que no saben cuál es su verdadero trabajo. Tu valor como profesional no está en saber armar una página web o manejar una plataforma, sino en resolver problemas reales de comunicación y ventas para tus clientes.En este espacio también analizamos el detrás de escena del mundo corporativo: el altísimo consumo de energía y agua de estas herramientas, la posible burbuja en la bolsa, y el motivo por el cual los CEOs de gigantes como Apple, Coca-Cola y Adobe están renunciando para ser reemplazados por perfiles más técnicos.Deja de distraerte con la herramienta de moda y mantén el foco en lo que importa, porque el problema del 99% de las empresas no es la falta de IA, sino la falta de bases sólidas en ventas, finanzas y gestión.----CAPÍTULOS00:00 Novedades técnicas sobre análisis y ecosistema digital.01:28 Lanzamiento de Claude Design y el pánico infundado.04:42 ¿Reemplaza la nueva IA al código HTML?06:17 Carrera tecnológica en IA: Claude versus ChatGPT.08:42 Alto costo computacional de NotebookLM y Gemini Pro.09:50 Riesgo de inversión y caída bursátil tecnológica.14:35 Automatización de tareas repetitivas empresariales usando IA.16:16 La verdadera razón por la que perderías empleo.18:00 El negocio real del diseño web estratégico.19:18 Limitaciones técnicas de la IA para e-commerce.21:34 Embudos de venta y tu cuello de botella.24:55 La IA no comprende la profundidad del negocio.27:13 Renuncias de CEOs tecnológicos por presión de IA.30:53 Enfócate en ventas y finanzas reales del negocio.----ENLACES Y CONTACTO

Host Mike Rosado welcomes designer/illustrator/author Jon Contino to the Pencil Pushers podcast to discuss Contino's upbringing on Long Island, his parents' craft-driven influence, and his early path from band flyers, cassette art, and self-taught HTML to charging for creative work at 14. Contino explains how his lifelong obsession with lettering, failed graffiti attempts, Photoshop experimentation, hardcore/grunge culture, and New York's grime shaped his "organized chaos" style, later balanced by a problem-solving approach to branding inspired by figures like Paula Scher. He describes career growth from a 2005 studio and a handmade clothing brand to building Contino Studio, shifting from illustration trends into larger storytelling and branding work, including Toyota, the Tampa Bay Buccaneers, and sports. They debate commercialization of "handcrafted," carbon-copy styles, and AI's threat, emphasizing human mistakes and youth rejecting "AI slop." Contino shares his remote studio model, intense family-driven schedule, rare client friction, flexible discovery through live conversation, a move from paper to iPad/Procreate for speed, heavy use of Figma/Framer, and excitement about revitalizing Coffee Bean & Tea Leaf's brand. Host: Mike Rosado (mrcraleigh.com) (instagram.com/ekimodasor) Post Production: Max Trujillo (instagram.com/trujillomedia) Sponsors: MRC (mrcraleigh.com) and Burny Wild's (burnywilds.com) 

Introducing Russell Aaron I didn't learn WordPress at a fancy college or career academy. I graduated from the University of YouTube. My internship was the Las Vegas WordPress Meetup and WordCamp Vegas. The rest I learned building mortgage company platforms, working for casinos, inside managed WordPress hosts, and at some of the best WordPress development and support shops on the planet. Show Notes For more on Russell, check out his website: https://russellenvy.com Transcript: Topher DeRosia: All right. Here we go. Hey folks. Russell Aaron: And three, two, one. Topher DeRosia: Hey folks. Welcome to Hallway Chats. I’m Topher, and I’m here with Russell Aaron. I assume I pronounced that right, because it’s not that hard, but you never know. Russell Aaron: You know, so many people call me Aaron. They’ll tag me and they go, “Thanks, Aaron.” And I’m like, “You know, it’s Russell, but it’s cool.” Topher DeRosia: Yeah, nice. All right. Well, I saw a post on LinkedIn the other day from you talking about podcasts having the same people on episodes all the time. I thought, “Oh, I gotta have that guy on my podcast.” Because then you can’t go on any other ever again, because then you’ll be that guy. Russell Aaron: Maybe. Topher DeRosia: So, I snooped a little. You live much closer to me than I expected. Have we met? Did we meet at a WordCamp? Russell Aaron: I think we met at WordCamp Ann Arbor one year. Topher DeRosia: Oh, okay. I went to a whole bunch of those. Russell Aaron: Yeah. I think I spoke 2018, something like that. Topher DeRosia: Yeah. I was probably there. Russell Aaron: Yeah. Topher DeRosia: All right. So tell me where you live, what you do, all that kind of stuff. Russell Aaron: I currently reside in Indianapolis, Indiana, and I am just freelancing as of right now. You know, I live in a pretty small town where it’s kind of old school WordPress, if you will. Anyone who is worth their salt keys will remember a day when websites were not responsive or a business has a cousin of a friend of a brother who builds websites and, “Hey, he’s working on it,” and three years later, there’s still no new website. I kind of live in a town where I’m kind of getting back to my grassroots, where I stay up late at night with my insomnia, and I will roll up to a business and I will say, “Your new website can look like this today. If you pay me this much money, I will install it today, and this is your new website.” And it’s got your updated menu, and it’s responsive, and it works on mobile, and we can connect it to AppPresser and make it an app and stuff like that. So I’m kind of reliving the glory days of what I remember WordPress to be. Topher DeRosia: I’m also freelancing right now, sort of by choice, sort of not by choice. Somebody I’m married to would rather I had regular pay and insurance. Russell Aaron: Heard that. Topher DeRosia: Are you in the same boat, or did you do this on purpose? Russell Aaron: I did this on purpose. I was not working for the man, but I was working with some people. I’m over the tiny little granular things that somebody can fire you over. Like they’re watching if your mouse moves or they’re watching if you haven’t logged in. There’s just no more trust, I feel like, in so many cases. And so I know that I can do things better on my own, and I’m going to. Topher DeRosia: I have to admit, I love the freelance life. It is pretty special. Russell Aaron: Right. It’s almost like… what’s that movie? The 40-Year-Old Virgin, where they are making a website and they’re like, “Hey, Spider-Man 3’s on in five minutes. Let’s go watch it.” Like they totally ignore their job and they just go watch this movie now. It’s kind of like that. Topher DeRosia: Yeah. Yeah. For me, it’s doing stuff with my wife. She has a day job, but it has kind of chaotic hours and not specific days of the week. And so I work when she does, which sometimes is Saturday and Sunday, and then I just don’t on Tuesday and Thursday. That’s pretty great. Russell Aaron: I’m kind of in the same boat. My wife has a wonderful job, and she is with a great group, and she does global advocacy. I mean, she just deals with people that are happy with the product, and she keeps them happy. She does lots of stuff like that. I’m kind of the same thing, where their company is now starting to get into AI, and they have so many questions, and I’m over here building things with AI and doing things like that. So I’m not exactly consulting, but my ideas are going into their company through my wife. Topher DeRosia: My wife works at a grocery store, and they have a cash machine they use in the back office that runs Linux. Russell Aaron: Oh, wow Topher DeRosia: And the IT guys had to come in and do some work on it, and she saw the screen and she’s like, “Oh, is that Linux?” And I’m like, “Who are you, and what do you know?” Super nerd. So what’s your company name? Do you have one, or is it just WP Pro Support? Russell Aaron: WP Pro Support. Topher DeRosia: WP Pro Support. Okay. Do you concentrate more on support, or do you build more? Russell Aaron: I have been doing support since 2011. I formed my very first support company, and I launched it the same day that Shane Sanderson launched Maintainn. My buddy, who you might know, John Hawkins, I was at the Vegas WordPress Meetup Group, and I had the idea in Vegas WordPress Meetup Group where there’s 70 people sitting right here behind me and they all want help. And I was like, “How do I do this?” So I built my first thing where I gave everybody free-for-life support, and they were my test group, if you will. And they helped me work out my bugs and tickets, and they helped me work out how I actually operate and do stuff like that. Then when I launched it, literally that day, John goes, “Wait, have you seen this?” And we had no idea about each other, but we literally launched them the same day. Fast forward three years down the road, I ended up working for Maintainn when it was owned by WebDevStudios. But everything I’ve done in WordPress has been support, whether I’ve worked for a mortgage company, a casino in Vegas, hosting with Liquid Web, doing stuff with NerdPress or AppPresser. Everything I’ve done is support. That’s really where my passion is because I remember what it’s like being a first timer. I think that there is a huge market potential here of people are always going to be new. I don’t care who you are. There’s always somebody new walking in the door, and there has to be a person who will sit down and say, “Come here, I’ll hold your hand.” And I am that person. I always try to look at WordPress from that lens is if a new person is looking at this today, are they going to be happy? Are they going to be confused? And I go from there. So currently today I’m transitioning away from support as we know it, where you write a ticket and then somebody on the other end is like, “Hey, I fixed your site,” or whatever. And I’m transitioning to a new product that I’m working on. So I’m going to be getting away from traditional support, but I’m still going to be doing things in the support space, if that makes sense. Topher DeRosia: Yeah, that makes sense. When I first got into WordPress, it was 2010, and custom post types were brand new. Russell Aaron: Right? Topher DeRosia: And I was out of my element with WordPress. I did not know what I was doing, but I did know PHP, and no one else knew post types yet. So when it comes to that, I was on an equal footing, and that was my way in. That was my leverage. I made a lot of money in the early days just building custom post types. Russell Aaron: Custom post types and single-posttype.php or whatever. Yeah. Topher DeRosia: So I was a competent PHP guy who didn’t know WordPress. And I feel like we’re in kind of the same transition space right now with AI, where we have tons of competent WordPressers who don’t really know AI yet. I think there’s a great space for that, teaching our friends, teaching everybody we’ve known for 10 years in WordPress. You know what I mean? Russell Aaron: I do. That’s one of the things that I really love about WordPress is that… let’s take the new 7.0 that just came out, I think it re-leveled the playing field. Before this came out, there were people that were ahead of others when it comes to patterns or blocks or the command palette and stuff like that. But now I think with this, we’re back to an even playing field because every… I mean, not exactly. There’s still some people who know AI a lot better than others, but you’re always five minutes ahead of somebody and five minutes behind somebody else. Topher DeRosia: Oh, yeah. Russell Aaron: But I do think that with 7.0, a new level playing field has come out. And now is the time to start learning, or you got to wait until 7.1 comes out where that new level playing field comes out. But that’s what I love about WordPress is that it continues to happen. Like you said, CPTs. I still love CPTs. I think they’re one of my favorite things. I look at all of these features, you know, page builders, another time when the playing field was leveled again. Now you learn page builders and then shortcodes and then this and then that. I think that’s the one gift that WordPress keeps giving is that you might be out of date six months from now, but then 7.1 comes out and you’re caught right back up. Topher DeRosia: Right. Yeah. And while you’re five minutes ahead, you quick do a WordCamp talk. Russell Aaron: Yes. Yeah. Topher DeRosia: For that long, you know more than other people, right? Russell Aaron: At least it’s on video, right? Topher DeRosia: Right. I was an expert for a minute and a half. Russell Aaron: That was my 15 minutes of fame. Topher DeRosia: What is your WordCamp life like these days? When was the last one you went to? Russell Aaron: The last one I went to was in Vegas, 2018. It was at the Plaza Hotel, which I worked at. When John was putting that together, in Vegas we had a wonderful space, and it was called The Innevation Center, and it was at a data facility called Switch. And they donated so much to us, and we are so grateful to them. And then they kind of had a change in their policy where they weren’t doing things, and then they overpriced how much it would cost to hold events and stuff like that. I was working at a hotel, and so we had this giant convention space, if you will. And so because I was able to pull some strings, we got a great, great discount, all food paid for. I mean, all of it. So that was my last WordCamp. The after party was on top of a pool deck, and there was pickleball courts, and there was a pool, and there was an open bar. I mean, it was rad. That was my last one. I have kids now. My kids are seven and eight and so my WordPress travels have slowed. No, I’m sorry. I take it back. WordCamp US last year was my last one, where we went scorched earth. That’s what I call it. I call it WordCamp scorched earth. Topher DeRosia: I was there for that one. I used to go to a lot every year. Go to- Russell Aaron: Five, six? Topher DeRosia: Five and 10. But since COVID, I think maybe just US every year. It’s weird to just go to one. Russell Aaron: It is. And just US, it’s almost like we used to have what I used to call regional events, where I lived in Vegas, I would hit up WordCamp Orange County, then I’d hit up San Diego, then we’d hit up LA, and then we’d make our way up to Portland, and then maybe if San Francisco did one, and then Phoenix. I did all my regional stuff. And then every once in a while I would venture… I mean, I love WordCamp Minneapolis. Love the people up there. Love so much about that event. Used to do that a lot. What’s the one in Ohio that I used to go to? Topher DeRosia: In the teens, there were five in Ohio. And being in Michigan, I used to just cruise down there. Russell Aaron: It’s a three-hour, three-and-a-half-hour drive, huh? Topher DeRosia: Yeah. Russell Aaron: About that. Yeah. Topher DeRosia: At the time, I was working for a company that was paying me to go to WordCamps. I had to make the case for each one, but it was a really simple case for all the Ohio ones because I didn’t need a plane ticket. I just drive over there. It’s like five in Ohio. There was Ann Arbor, there was Detroit, there was Grand Rapids, there was Chicago. I mean, there was almost 10 WordCamps within a three-hour drive of me. Russell Aaron: That’s beautiful. Topher DeRosia: It’s just not there anymore. Russell Aaron: I was very fortunate to work for companies like WebDevStudios, where I could tell them, “Hey, I got into WordCamp Minneapolis. I’m going to speak there.” And because I’m speaking there, they would reimburse me X amount of dollars for something, and then they would sponsor the WordCamp, and then they would make a thing out of it. I mean, I was very fortunate in being able to do that. Then I worked with a really great company called NerdPress, and they are a fantastic group of people that do the same thing. And then I ventured out into different straits, and it was very much different. I’ll say that much. Topher DeRosia: Yeah. Those are good times. Russell Aaron: It’s almost like… the way that I put it is it’s like we all graduated. We all did our four years of college, we all graduated, and now we went to our temp jobs or we went to our internships. Like the band broke up. Topher DeRosia: Yep. Yeah, it is a lot like that. I have seen generations of WordPressers. There was all the crew before 2010 that were downloading zip files and hacking themes to even get them to run. Then there was after 2010, and custom post types were new and stuff. And then there’s the whole Gutenberg generation that never experienced all that crazy theme stuff. Russell Aaron: I mean, you tell people that child themes were so new that people didn’t even grasp the concept of a child theme, and today it’s so baked in. It’s not even something that people think about. It’s just you install this and the child theme, and it’s a thing. But I remember writing those by hand. Topher DeRosia: Yeah. No kidding. Then to a certain extent, not even having child themes anymore because nothing is stored on the file system. Russell Aaron: I love it. I love it. In my very first WordCamp talk in Vegas 2012, I made a prediction that everything was powered by the theme. Everything used to… I mean, that’s as far as I go back is every template was the same. It was left column, right sidebar, header, and every page, whether you liked it or not, looked like a blog post. And it wasn’t full-width, responsive. I remember a lot of that. And then corporate themes came out, and then cupcake themes came out, then lawn company themes came out, and then the rise of Envato and stuff like that. That’s a good name for a band, The Rise of Envato. Topher DeRosia: I’d go see them. Russell Aaron: But all that stuff comes out. And then you look at it now and it’s like, that seems so far away. I still remember the day that I learned about child themes, and I’ve never forgotten that. And I think, coming back full circle, that’s why I stay in this beginner support space because I’m kind of keeping that nostalgia around, I guess. Topher DeRosia: Yeah. There’s a lot of joy in watching people’s eyes light up when they get it. Russell Aaron: That’s the best part is just telling people what’s possible. When they’re frustrated with something and you go, “Oh, hey, Gravity Forms can do that.” And they’re like, “Wait, what?” And I’m like, “Yeah.” And they can also do… And I just start naming stuff. And I show all 50 extensions that they have and they’re just like, “Wait, what?” And I’m like, “Yeah.” I’m like, “This starts getting radical when you’re into it.” Topher DeRosia: There’s something I miss from old WordPress that I don’t see in modern WordPress. It might not be a thing. And that is dramatic new styling with a theme the instant you install it. My wife is not a computer person and does not care about computers. She loves design stuff. There was a time we used Winamp. Russell Aaron: Wow. Topher DeRosia: And she loved getting skins for Winamp. And she would download 30 in a day and try them all out. And then when I set her up for the blog the first time and showed her the theme repo on .org, this is in 2011, she would literally spend a day just downloading theme after theme after theme. Russell Aaron: Same way. Topher DeRosia: And you just install it and poof, your site looks amazingly different. These days, I mean, you install something like Kadence or GeneratePress or Ollie or any of them, really, and it’s kind of a blank canvas. Russell Aaron: It’s very minimalist. It’s very minimalist. Topher DeRosia: I miss the ability to say, “I feel like making a change today,” and two minutes later, your site looks completely different because you’re using… Russell Aaron: Couldn’t agree more. Couldn’t agree more. I mean, I look back at old pictures from when I would host the meetup group in Vegas, and there’s pictures of me talking, and then on the screen behind me is my old site, and it was this old layout. I bought the theme from Envato because I was just fascinated with it. It was everything that I wanted it to look like. But same thing is now when you change your theme from this one to that one, that dark grunge kind of thing is gone, and now you’ve got this bootstrap-looking thing or whatever. I agree with you. I think that comes from my days of being in MySpace. That’s how I got started with all this. So you could change your MySpace template like that, and I think that’s where it comes from, at least for me. Topher DeRosia: I haven’t even looked into it. Can you make a Gutenberg-based blog theme that has a very striking look and just release it? And then, I don’t know, just release a whole bunch of them like in the old days? Theme shops had 35 themes for sale, and they all looked different because they were all totally different themes. Russell Aaron: I remember there was a day on Envato where it was the same theme, it was just rebranded. So it was like theme name 1.0, and it was called Atlas. And then it’s the same theme but in orange, and now it’s 1.2, and it’s called Dungeon or something. And then we have 1.3 again. Same theme, same framework, but each version was named something different. It made that developer look like they had five different products instead of just one over and over. Now you look at something like a page builder, and it’s like, “We’ve got 500 different templates in one thing.” I can’t do that. I think that’s too much for me. Topher DeRosia: It’s like the days of the CSS Zen Garden. Russell Aaron: Right. Topher DeRosia: HTML is the same, CSS changes. Before I used WordPress, I built my own blog system. Russell Aaron: Oh, wow. Topher DeRosia: It never got super advanced, but I used it for 10 years. One of the things you can do in your HTML is register alternate stylesheets. It’s the same tag, it’s just an alternate word in there. And then in Firefox, at least, you can go under “view Page Style”, and they would all be listed there, and you can just choose different themes. I figured out the JavaScript, even though I didn’t know JavaScript. I figured out the JavaScript to make a little dropdown box in my sidebar so my visitors could say, “Oh, I want to change my theme here.” I never figured out how to do that in WordPress because everything was so tied to style.css. I didn’t know how to make a different one be the main one. But that’s something else I miss in WordPress is the ability to just so dramatically and dynamically change your design because your content is structured so well. Russell Aaron: You know, not only that, but I really liked the websites where there was a demo, and then it gave you a basic username. The username was demo, the password was demo. But then the one thing I never figured out was how every 24 hours the site would just reset. So somebody can go in there and they could do whatever they wanted to do. They could create their own pages. They could create their own blog posts. And for 24 hours, there was a page called Russell’s Awesome. But then after 24 hours, it would just reset. I always thought that was so cool, but I could never figure out how to do that. Topher DeRosia: Oh, yeah. And everybody was editing all at the same time, within that 24-hour period. Russell Aaron: I have since restructured my website. I use the block theme from WebDevStudios. I kind of feel like that’s where I got my education from. I was somebody who kind of dabbled around in WordPress, and then when I went to go work with them for three years, they had a set of standards that I couldn’t even fathom to begin with. But then as we built things and I saw how their machine works, how their business revolves, I was like, “You know, for me, this is the way that I like to do things, is the way that they like to do things.” And so my new website… I mean, not new website, but it’s my new theme, I actually had AI build it for me. I had Claude. I was using… It’s by ThemeIsle. Neve. I was using Neve, one of my favorite themes. Love them. So I was using that, and then my site was kind of all over the place. It was an “I’ll teach you how to do this”. That’s kind of the main focus of my site is I will jump on a call with you, and whatever questions you have, I’ll sit here for five hours with you if you want. I will teach you and until you get it. But then I also had this section about band names that were just… earlier when we were talking about the rise of Envato, you know, like I would have a section on my blog where you could create a new band name and then I had all these random blog posts. And so my website was kind of like this potluck, if you will, just like this random stuff. And I was like, you know, I want to be doing something else. I think my website needs to change. And I have those old blog posts still, but they’re hidden. So now with my new theme, I had AI look at my old site and say, this is what I think we should do. I picked out some colors and over like five days, I had it build me five different HTML pages, like completely different, you know? And then I started giving AI and I said like, “Okay, I want to look like this.” And then I was like, well, okay, I like this and I like this, but I also like this from this other site.” So I started feeding it information and like when the HTML came out, I had 12 different templates. I had my blog posts, I had my archive, but I had everything built in HTML. And the cool thing about the WDS block theme is that it serves everything as an HTML page. So I literally just took AI and said, “Take these HTML pages, bake them into how this theme does it,” and bam, my site came up. I had it done in maybe two days. Topher DeRosia: Wow. Russell Aaron: And then after that, I had it take all of those HTML pages and create me patterns. So now I can go in, and when I go into my full site editor, I can go to patterns, I have all my homepage patterns, my blog patterns, I sliced everything up, and they’re all WordPress native blocks. So I can literally go in and change the coloring on any page I want instead of having to edit the HTML or anything. And now that I have that, I feel this sense of freedom where I’m not worrying about an update coming tomorrow, if my update is gonna break or I don’t have to read a changelog that is not specific anymore. I can’t stress how much I love not having to read changelogs or the lack of changelogs. I mean, I’m fully happy with how things have come out. And over time, I’m gonna keep fine-tuning it, but I’m pretty much where I’m at right now. With all of this new technology that’s come out, I’ve really kind of found my love again for WordPress. I was kind of in a slump where I just wasn’t really doing anything. Now I take my son and we’ll drive down to Louisville, Kentucky. He rides BMX. So while he’s racing, I will literally have Claude Code open on my computer and I will log into the Claude app on my phone and I can keep sitting there having the same conversation. So this new thing that I’m building, I can still do it while I’m sitting there watching him race or while I’m doing something else. I was just like, this is fantastic. And then my wife will drive home and I’ll just sit there and I talk into my phone, I literally put the microphone on and I’ll be like, “You know, I don’t like that. And here’s my thoughts about this.” And you know, my phone dictates all of that and then I send it to my computer through the app and it just keeps spinning things up. Then by the time I get home, I have a new version that I can demo or I have a new version that I can test. I mean, I am just so fascinated by it. Topher DeRosia: That’s cool. Were we at WebDev at the same time? Russel Aaron: I don’t think so. Topher DeRosia: I was there just over three years ago. Russel Aaron: I was there 2015 through 2018. Topher DeRosia: Oh, yeah. I came much later. I was only there for like two months. Russell Aaron: Oh, wow. Sometimes that’s the way it goes. Topher DeRosia: Yeah. They were gonna get a big contract that hired a bunch of people and two months later didn’t get the contract and let us all go. Russell Aaron: As much as I hate that, that also taught me that the people that do great work or the people that show up every day and are putting in more than they’re getting out, those are usually the people that stay in companies like that. That really changed my work ethic. I used to be somebody who wanted to be not lazy, but I didn’t wanna be pressed for time or having to go, go, go and having to be on all the time. Now, I’m the opposite. Now, I’m like, now that I’ve done that, I kind of earn for that stretch for a little bit. I mean, you were just saying that how you’ve transitioned to where you are. I was watching a Barstool Sports interview with a guy who runs a pizza shop in… it’s either New Jersey or New York. The guy’s only open Wednesday, Thursday, Friday, Saturday. And he’s only open nine to six or something like that. And he built that business… well, it’s been in his family for like 60 years or something. He has one of the last original pizza ovens ever. But anyways, the point is, is that he lives at the pizza place, that’s where his entire life is, but he built the business around his life. I’m doing the same thing where if I wanna literally go jump on my bike right now and go for a two-mile ride, I’m gonna go do that. And I don’t have to feel like, hey, you’re not logged in and we’re not tracking your mouse. Like what’s happening? How come you’re not on Slack? You know what I mean? I’m not tied down to that. And I can’t stress that enough of like, that is where I wanna be. Topher DeRosia: Yeah. Yeah, it is a good life. We are at about the time to wrap it up. Okay. So I’m gonna do that. Where do you hang out online? Russel Aaron: Where do I hang out online? Topher DeRosia: Are you in any common WordPress Slacks? Russel Aaron: I’m on the main WordPress Slack sometimes. I tend to watch more than I do involve anymore. A long time ago, I used to be very vocal and I used to be not afraid to walk in to a room guns blazing. With the big cultural shift that happened in WordPress, I tend to just sit back now and be more self-reserved. So I post on my website, russellenvy.com. I’m on LinkedIn. I’ve been utilizing Reddit a lot too. I think for me, Reddit is a place where I kind of disagree with the fact that you can hide behind a pseudonym, but I do like the brutal honesty that people will have because they are hiding behind something and they will say, dude, this flat out sucks. Or they’ll be like, Hey, this is great, but it would be cool if, or somebody can be like, “Hey, that already exists. You’re not doing anything new.” I do like that. Because it kind of not puts me in my place, but it shows me either how connected or disconnected I am to what I think I’m doing. And so Reddit is a very great place. I mean, everything is russellenvy.com except for Twitter or X, whatever you want to call it. Topher DeRosia: All right, cool. Russel Aaron: Where do you hang out at? Topher DeRosia: I am in probably 40 slacks, but the vast majority of them, I don’t look at. I’m there so that someone can ping me. I’m in a couple of slacks in India. Okay. I’m in the WordPress Italian community Slack. Russel Aaron: That’s interesting. Topher DeRosia: Post status make, of course there’s a hero press Slack. I have my own company Slack, my local meetup has a Slack. There’s just a lot of them. I wouldn’t say I’m super active on any of them. I just occasionally interact with somebody. I use my own company Slack to invite my clients in when we talk there. Russel Aaron: Right. Do you find yourself reading things more than, you know… from the outsider looking in, I post a lot and it looks like I post a lot… I mean, especially on LinkedIn, but I’m always consuming more than I’m posting. Do you find yourself doing that? Like where you’re… maybe not keeping up with the trades anymore, but like, you know… I used to read maybe 1,500 blog posts a week and then… what was that service where you could like save…? I used to have a service where you could save articles and then that way, late at night, I would just read, you know, maybe 10 or 15 of them a night. But now I look at things like Reddit where I see… I just look at somebody who’s going on there and asking for help. Again, it’s a standard WordPress person that, hey, I’m new to this, I don’t know how, and I’m looking at it and I’m just like, how can we make that better? That’s kind of where I’m at these days. Topher DeRosia: I don’t read a whole lot in Slack. It really is for my convenience. I’m pretty active with my RSS reader. I follow a lot of stuff. Russell Aaron: Oh, wow. Topher DeRosia: Because I don’t wanna go chase it all down all over the internet. So, you know, there’s that. I’m on LinkedIn a fair amount, Facebook a little bit. I’m on Mastodon and Blue Sky mostly just to post stuff. It’s funny, I have more followers… No, let me say it this way. Mastodon, I have the fewest followers, but the most engagement from those followers. Russell Aaron: Isn’t that interesting? Topher DeRosia: Yeah, I’ll post something and I’ll get some favorites or reposts or whatever. Blue Sky, I get almost nothing at all, despite the fact that I have like a thousand followers there. Russell Aaron: But Blue Sky is a community that is fast-moving. I almost compare it to anything Meta has, which is you can post today right now and in three minutes you’re 785 posts down. That’s what I really love about Reddit is that I posted something about this AI team that I’m building that I give away for free on GitHub, and so for like five days, I was the number two post on that subreddit. And the volume that I saw from that. I mean, Reddit really loves human writing. If you go in there, you post something that somewhat seemingly might suggest that you had AI do anything with it, they will just downvote it. But if you write original and you write from the heart and stuff, like your stuff skyrockets there. I’ve learned a lot from Reddit because of that. Topher DeRosia: That’s really cool. Russell Aaron: It’s interesting. Topher DeRosia: Yeah. All right, well, thanks for chatting with me. Russell Aaron: Thank you for the time. Topher DeRosia: And now you can’t be on anybody else’s podcast. Russell Aaron: I’m actually starting my own, sir. Topher DeRosia: Are you? All right. Russell Aaron: I have, like you said, the reason why we started this is because you saw something from me that says, “I’m tired of the indie circuit,” if you will. I put out a LinkedIn post, I don’t know, maybe a month ago at this point and I asked people if they wanted to be on a show. So I have WP Roundtable. I got that from Kyle Mahler, a person who I love in WordPress more than I can express. One of the best people on the planet, I feel like. I was thinking about starting that up again, because we don’t have WP Watercooler anymore. We don’t have anything like that. That’s kind of where I got my start from. But again, I also identify that that’s kind of the problem is that every Monday or Friday I was on a show and I was one of the people that you would see constantly. And so I was sitting there thinking and I was like, what doesn’t the space have? What kind of show do I wanna watch? Because I don’t watch shows when they come out, do you? Topher DeRosia: No. Russell Aaron: I always watch them maybe four weeks down the road at like 2:30 in the morning when I have nothing going on. And by that point, the information is almost stale. I mean, the way that anything works these days. And there’s a few that I might watch maybe within 48 hours of coming out, but at this point, there is something… a new idea that myself and… the guy’s actually an automatician. And so it’s actually kind of interesting because we don’t wanna say anything that would put him in a position to where he’s saying something bad about the company he works for, but I’m also the person where I get to say something to the person who works at Automattic to maybe incite some change. So we are working on something like that, but it’s not going to be an interview show. It is not going to be something where you tune it out or you put it on a 2.5 playback speed just to get through it. You know what I mean? And that’s really what the emphasis of my post was about is that so many of the interviews go that way. Topher DeRosia: Yeah. Are you familiar with wppodcasts.com? Russell Aaron: Yes. Topher DeRosia: Okay, good. So when you get it started up, submit it there. Russell Aaron: That’s a place. I’m very fascinated by Gary Vaynerchuk. Are you familiar with Gary V? Topher DeRosia: No. Russell Aaron: I watch something Gary V every day. That guy makes me feel like I’m lazy every single day, but he is also one of the people that says like, “Hey, you’re 40, you’re still just a baby.” A lot of people feel like I should be two kids, a house, marriage, this, that, and because I’m not, I’m behind the ball. And he’s one person that’s like, “Listen, you’re still a kid.” And he’s like, “You’re 40, I’m 40, and you have 10 years until you’re 50.” And even then you’re still so young to where you can generate something again and from 50 to 60, you can now do. That kind of mentality really moved me around. Why I bring that up is, I’m trying not to post on the same places that everybody else is. I wanna find that new venture. Substack is a great one. And they also have a way to release podcast episodes through them. So they can actually be your entire engine. So like you don’t have to host them on different places and stuff like that. So I’m looking for different plays like that. Topher DeRosia: All right, cool. Well, I look forward to hearing about it when it comes out. I’m sure you’ll post on LinkedIn. Russell Aaron: Yes, yeah. Topher DeRosia: All right. All right then, well, I will maybe find you on Slack or Reddit or someplace. Russell Aaron: Slack, Reddit, LinkedIn. Either way, please keep in touch. First of all, it’s great to see somebody familiar in the space. It’s great. I mean, just talking about the old days, I could sit here and do it forever. Topher DeRosia: All right, I’ll see ya. Russell Aaron: Have a good one. Topher DeRosia: All right, so that was the end of the podcast. If you could send me a headshot. And yep, that’s the one. Cool. And any links you want in the liner notes. Russell Aaron: Cool. Topher DeRosia: And two or three sentences about you and what you do and whatnot. Russell Aaron: Cool. I noticed that you… are you trying to revive Hallway Chats? Or is it something that when you just find something interesting, you’re like, hey, I’ll go do that. Topher DeRosia: That’s it right there. Russell Aaron: Okay. Sure, sure. Topher DeRosia: There was a time when it was a weekly podcast and now it’s a whenever I feel like it podcast. Russell Aaron: I love it. I think that’s the biggest reason why I’m trying to do something different is I really dislike watching a podcast. The first thing they do is they come on and they go, “Hey, welcome to WP whatever. Hey, sorry we didn’t post this week. I was bit…” If you are gonna say you’re gonna post every Wednesday at one, that’s on you. But I do not like when things start off with an apology. Like just get to it. Because I’m not watching it Wednesday at one. I mean, unless you’re Joe Rogan, or unless you are somebody who has a huge following that people will watch you live because it’s important. Otherwise, it’s just consumable stuff, you know? Topher DeRosia: Yeah. For years, I posted it Heropress weekly on Wednesday without fail. I would ignore my family to go get it done. Then I was talking to Morton Rand Hendrickson. You know him? Russell Aaron: Uh-huh. Topher DeRosia: Yeah, he’s a huge fan of Heropress. And I said to him, “Do you read every week?” He’s like, “Oh no, not at all.” He’s like, “Oh, I thought you really liked it.” And he said, “Oh, I love it. But I don’t have time to read every week.” Every few months I’ll get depressed about the WordPress community and I’ll go read 10 essays. And then one time I was at WordCamp Ann Arbor, probably the same one you were at and Josepha came to me and said that… she was kind of a sounding board for employees that come to her and said, “Listen, I’ve been working support all day and people suck and I’m depressed and I hate life.” And she would just listen for a while and then at the end they would say, “Okay, I’m gonna go read a bunch of Heropress and I’ll feel better.” And it really changed my perspective of what I was making. I wasn’t making a weekly publication. I was making an archive, a collection to be used as a tool, a library. Russell Aaron: I’m gonna say this poorly, but it’s almost like you are creating a support help hotline where it’s like, if you’re on the verge of blowing up your website, please call this number. We’ll talk you down from it. It’s almost like you’re building that. Topher DeRosia: That’s funny. Russell Aaron: That’s interesting. And then now you’re just selective about it or you’re so far- Topher DeRosia: I’m less aggressive about finding essayists and less insistent that they get it to me by a certain time. Like I would find somebody and say, listen, I need it by Sunday on this date. And they were like, “Okay.” And that worked for a while. Russell Aaron: Oh, before, before. Okay. Topher DeRosia: Yeah. But now I’ll find somebody… No, I don’t go looking as often. Russell Aaron: You’ll maybe find something that somebody wrote and you’ll be like, “Hey, are you interested in doing this?” Topher DeRosia: Yes. And I don’t find people as often. I used to find my people on Twitter and I’m not on there anymore. Russell Aaron: Like by personal choice? Topher DeRosia: Yeah. Russell Aaron: Okay. Topher DeRosia: I just left Twitter. Russell Aaron: Oh, wow. You feel like your life improved? Topher DeRosia: Yes and no. Russell Aaron: Okay. Topher DeRosia: I feel the loss of what Twitter was. And it’s not there anymore. It’s just gone. Russell Aaron: Especially around WordCamp and stuff like that. That used to have to be the place that you’d be on, you know? Topher DeRosia: The Twitter I loved doesn’t exist anymore. And so, yeah, I feel that loss. Russell Aaron: I need a t-shirt that says that. Topher DeRosia: Yeah. Wow. I’m in the process of making a printable store. Printable? Printful. Printful store. Russell Aaron: Cool. Topher DeRosia: With Woo, to make a video with. I need to make a bunch of products. Maybe I’ll make one of those. Russell Aaron: It’s interesting. Wow. You just flat-out left X. Do you feel like with Heropress, it was… and again, this is why I made that post, is that people almost see it like they can make the rounds. And it’s like, well, I haven’t gone there yet. And so they’re gonna submit something to you because they’re gonna get some press out of it. And it’s not so much what’s best for your brand or it’s not best for your website. They just see it as, well, I’m gonna get some exposure there. Do you feel like it used to be that? Topher DeRosia: No. I’ve gotten maybe two or three submissions ever like that. And a couple of them, I was able to say, “No, that’s not what we’re about. It’s this other thing, what Heropress is actually about.” And they’re like, “Oh, well, okay, that’d be great.” And they do that. And maybe one or two people have said, “I built this great company and everyone should come use my company.” Like, no, not so much. Russell Aaron: Interesting. Topher DeRosia: And that’s the end of it. Russell Aaron: I remember back in, I wanna say like 2013, people used to call each other out and be like, why are you giving the same speech at WordCamp Miami, WordCamp Minneapolis, WordCamp San Diego. And that’s kind of where I was at with that same LinkedIn post. It’s like, I really, really enjoy watching Matt Cromwell’s show, but the guy that he just had on also was on Jonathan Denwood and was also on this one. It was also on, I was like, I’ve already seen this. Maybe I get three more percent information that wasn’t in that last, or because Matt knows a little bit more about personal stuff in WordPress or building a business, he might have some more insight there, but it’s like, I’ve already heard this and I’m kind of already over it. And that’s kind of where I was at is you don’t have to just say, I’m gonna do this one and that’s it. But it’s almost like, you’re making yourself not… what’s the word. Not credible because you’re going around and saying the same thing and it’s just, you’re not doing anything different than a blog post could have done. Topher DeRosia: You know what I mean? I don’t feel too bad about repeating WordCamp talks because, especially at small camps, because a lot of people are just gonna go to their local camp and never go to another one. And unless they cruise.tv, they’re not gonna see it. I struggle a little bit with podcasts because I’ve been asked a lot over the last 10 years to come on a podcast and talk about the story of WordPress. And it’s the same story every time, you know? And so, I’ll try to mix it up a little bit, give different information that I’ve never given before, that sort of thing. But it is something I think about and struggle with a little bit. Russell Aaron: What do you struggle with about it? Topher DeRosia: I don’t wanna just say the same thing over and over again. You know, I don’t want people to go, oh, Topher’s on another podcast episode. Oh, I’ve heard this story. I don’t need to be on this episode. Fortunately, it’s been around long enough that I can give a brief synopsis of the beginning and talk about stuff that’s happened in the last couple of years. Russell Aaron: Right. Topher DeRosia: Which is gonna be really different from the podcast episode I was on in 2020. Russell Aaron: You know? Right. Topher DeRosia: It’s an interesting dilemma when you have one story to tell and everybody wants you to tell it. How do you deal with that? Russell Aaron: Well, I’ve noticed that too. It is like, you know, I’ll watch [Insert Famous Name Here], and they have a podcast, and they’re interviewing, again, [Insert Famous Name Here], and that person was also just on That Famous Name and That Famous Name. I actually saw somebody, it’s like almost a year ago, and they were just like, “Do you want me just to say this so your show has this speech in it or are you genuinely asking me?” Because, you know, like you want this story so you can post it on your social media. But I’ve already given that story 15 different times because they wanted it for their own, you know? And it’s almost going that way where I kind of respect it in a way because you don’t want to post other people’s content. But I also feel like I’m tired of saying the same shit over and over again. It’s interesting, man. Topher DeRosia: Yeah, that’s a dilemma. Russell Aaron: So you’re just like kicking back and… are you building something for you that you think is gonna scale or are you trying to get away from WordPress? That’s kind of where I’m at right now. Topher DeRosia: Yes and no. I have always wanted to… I’ve always been better with people than code. I’m a life coach. Russell Aaron: Yeah. I did not know that about you. Topher DeRosia: I love talking to the client more than coding. I love helping people learn things. And so those skills could be anywhere in WordPress, but also could be anywhere outside of WordPress. So I’m looking for those jobs and they are not out there. Russell Aaron: Right. Topher DeRosia: So here we are. Russell Aaron: I’m to the point now where my son, he’s eight, but he races BMX, like actual bikes and stuff. And so there’s a college here in Indianapolis and it’s one of the best cycling schools in the country. And there’s like five Olympians that practice every Tuesday and Thursday and they’re right in our back door. These are people that have a great social following, but they don’t post very well. They have a brand name, but they don’t have a website. So I’m noticing that every new space that I go into, it’s kind of like I get to jump back into WordPress again, where it’s like, hey, I just built a website for this BMX track in Louisville, Kentucky. It’s one of the best tracks in the country by everybody that has ever raced in a sport, they all vote that it’s one of the best, but they don’t have a website period. I just went through this where they have a guy, he’s their treasurer and he’s like, “Well, I’m an AI software guy.” And I’m like, “Well, how come you don’t have a website?” And he’s like, “Well…” And I’m like, “Listen, I submitted a new version of a we… literally, I uploaded it to my Russell website or to my Russell Envy site and I just put it in a sub-folder and I was like, “Your website could look like this today.” I was like, “For free. I don’t want anything from you. No free anything.” I was like, “I want to donate this to you because I want to grow the sport.” And the guy’s like, “I wanted to build it and React.” And I’m like, “Well, why didn’t you?” And the guy’s like, “Uh.” And I’m like, “I have free hosting for life from WPEngine.” And I was like, “I won’t charge you guys ever. I will host a site. I have free with AppPresser. I’ll build you guys an app where you guys can send push notifications.” And the guy’s like, “Well, I want to have a lot of control and say over it.” And I was just like, “All right, you know what?” And then I built my own. Now I own a domain all about their BMX track and now they’re calling me going, “We should have went with you.” I’m to the point now where I’m nice. And then it’s just like, “Dude, I’m 10,000 miles over you and I’m going to go this way.” Liquid Web did that to me. Liquid Web brought me in and they were like, “We’re going to…” I was supposed to be the OG stellar WP. They brought me in, I was hiring all my friends and I was bringing in people and we were building something. And then they called me and they were like, “Well, you can either be a level two support person or you could just not work here.” And I was like, “Well, I don’t work here anymore.” And they were like, “Well, wait, hang on.” And I literally hit “click” and I have never logged on since. Topher DeRosia: That’s funny. Russell Aaron: I’m in that same boat where, you know, I don’t have to work for you. You know what I mean? Like, fuck, I’m 40. I should be doing something on my own anyway. I kind of wish I had… what was WP 101? Sean did that for all those years. I wish I would have done that. Or every week, I should have had some YouTube about talking about something and maybe I could have monetized that, but I’m not behind the ball. I let the ball slip is what I feel like. Topher DeRosia: It’s not too late to start. I picked that up when Sean, quit and I’ve got a YouTube channel with a bunch of stuff on it. I published one today. Russell Aaron: Oh wow. It’s just interesting things that you think about, or is it like educational, like tutorials? Topher DeRosia: It’s educational tutorials, but stuff that I find interesting. Like today I made a desktop wallpaper for WordCamp Europe. Russell Aaron: Nice. Topher DeRosia: And I did it by going to their webpage in my browser and using the console to hack the HTML and CSS until it looked like a screen, a wallpaper. Russell Aaron: That’s fucking cool. Topher DeRosia: So I published it right before I’d started talking to you, like minutes before that. And it has three views. Russell Aaron: Woohoo. Topher DeRosia: But a couple of weeks ago I did one called fun and games in the terminal. And it’s how to play Tetris in the terminal and how to make a choo-choo train go across your screen when you type LS wrong. And it has 784 views right now. Russell Aaron: That’s awesome. Topher DeRosia: I did one on how to brighten a photo. I did a series. I’m working on a series called Topher learns how, or I talk to people who know how to do things that I really should know how to do, but don’t. I talked to Scott Kingsley Clark about pods, which has been around forever, but I’ve never used. I talked to Donata about Termageddon, because I know it’s important, but I have stayed away because I don’t understand and it’s scary. Russell Aaron: Termageddon. I’ve never heard that. Topher DeRosia: Oh. You know the little cookie consent things, privacy policies and whatnot? Russell Aaron: Yeah. Topher DeRosia: So when you sign up with term again, you pay a surprisingly low monthly fee and they have a human get on the phone with you and talk through your requirements of where you live, your legal stuff. Like, are you in Europe? Are you in California? Where are you? Where are your customers, your viewers? Then you drop in a short code for your privacy code and for the cookies and they keep them up to date based on how the laws change. So you don’t have to pay attention to, Oh, did California make some crazy new law about cookies? What do I need to do to update my site? It’s really, really great. So I did an interview with her. Russell Aaron: $12 a month or $119 a year. Topher DeRosia: Yeah. Russell Aaron: What is the point of having a privacy policy if you don’t pay extra for limiting your liability? Wow. That’s amazing. Topher DeRosia: It is. Russell Aaron: That’s someone just thinking outside the box. Topher DeRosia: Yeah. I have a couple of videos where I was given an account at a hosting company that I’ve never used and videoed logging in for the first time and getting to a website. Russell Aaron: Oh, wow. Just from first login to setting everything up to now you have something production. Wow. Topher DeRosia: Yeah. Specifically not reading the docs. Russell Aaron: Oh, just trying to brute force your way through it. Topher DeRosia: Yeah. Russell Aaron: That’s smart, dude. Topher DeRosia: It’s partly about… well, they may have wonderful docs. It may be super easy to do if you read all the docs. I don’t want to read the docs. Russell Aaron: Me neither. Topher DeRosia: Clickety clickety click, I have a website. So I did GreenGeeks. I did honesthosting.io. I did X cloud. So that’s the kind of stuff I’m doing. Russell Aaron: That’s interesting. That is something that, that Gary V talks about a lot is that it used to have to be where you are this WordPress brand and you do just this and all your videos could only be about that. Anytime you stepped outside the box, people were like, “Why am I watching this?” And today now we’re to finally to where my website would probably actually thrive is it’s so random. It’s just something out of my head and one thing can skyrocket and it’s like hitting the jackpot, you know? That’s interesting. Topher DeRosia: Another thing I did is I made a site called topher.how and because I realized I had never really made stuff in my own channel. I’ve been blogging for decades, making videos, WinningWP. I have over a hundred videos on WinningWP. Russell Aaron: WinningWP? Topher DeRosia: Yeah. Russell Aaron: Did you start that when Charlie Sheen started doing Winning? Topher DeRosia: No, no, no, no. But I was thinking, boy, I’d love to have all this stuff on my own website, but I don’t want to go find it all and copy paste posts. And then I realized nearly every place I’ve ever made content has RSS for their authors. Russell Aaron: Yeah. Topher DeRosia: And so I found the sites, found my author RSS feed and started piping them into WP all import. And now topher.how has all my content from the last 15 years on a dozen different sites, doesn’t more than a dozen different sites, all my videos, all my posts, everything on wordpress.tv, all that stuff. So it’s kind of a portfolio. Yeah, so you can go to topher.how and see all my stuff. Russell Aaron: That was actually one thing that I was really proud of was that my entire WordPress journey is documented on somebody else’s project. So, like you go to WPwatercooler and my resume, what is great about it is that it is not me who can edit those videos, it is not me who can master them. Those words are there. Those words are me. You want to know my qualifications in WordPress, there’s all my shit. For me, I was like, “That’s actually pretty sick. You know what I mean?” Topher DeRosia: Yeah. Russell Aaron: Wow. Topher.how. Oh, dude, do you know who Jeffrey Zinn is? Topher DeRosia: No. Russell Aaron: Oh God. Him and Brandon Dove they have Pixel Jar. Have you ever heard of Pixel Jar? Topher DeRosia: Maybe. Russell Aaron: They’re big West coasters. I’ll tell you that much. He just wrote me, “He literally just said, dude, how do you find the time to write so much on LinkedIn? I enjoy all your stuff, but mostly I’m blown away by the volume.” Topher DeRosia: Nice. Russell Aaron: I’m going to write him back and just tell him the truth. But you know, it’s all thought man. Interesting. Topher, I’ve had a lot of fun. Am I taking up your time? Topher DeRosia: I should get back to work. Russell Aaron: All right, sir. Have a good one. Topher DeRosia: All right. I’ll see ya. Russell Aaron: Bye. Topher DeRosia: Bye.

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.

In der heutigen Folge sprechen Thorsten und Zetti mit Meshimouse aka Curemici in einem Follow-Up über Meshnetzwerke. Eine erste Folge zu dem Thema ist im vergangenen Jahr erschienen. Aufgrund der entstandenen Dynamik rund um Meshnetzwerke, insbesondere auch durch den Fokus einer der letzten Sovereign Engineering Kohorten, war wieder Zeit für eine neue Folge zu dem Thema. Meshimouse gibt ein Update zum Reticulum, einen Deepdive in eine neue Android App, die als mobiler Reticulum Client fungiert, was bei Meshtastic passiert ist und gibt einen Ausblick auf die kommenden Entwicklungen. Von und mit: - Curemici- Zettizettler- Thorsten ⚡️- Thorsten ⚡️(Cutting)Hier könnt ihr uns eine Spende über Lightning da lassen: ⚡️nodesignal@getalby.comZusätzlich haben wir auch einen Silent Payment Link: sp1qq0a2rles9y32ffmj0eawvjglgqsgj7hq99ers580l98k42a7rh9szq3sa50fh2e5lwf22fxcjy0qw88u72vlj328qr39da245sq4nrskuqvvv5l4Neben dem Podcast findet ihr uns auch auf YouTubeFür Feedback und weitergehenden Diskussionen kommt gerne in die Telegramgruppe von Nodesignal und bewertet uns bei Spotify und Apple Podcasts, das hilft uns sehr. Folgt uns auch gerne bei Nostr:npub1n0devk3h2l3rx6vmt24a3lz4hsxp7j8rn3x44jkx6daj7j8jzc0q2u02cy und Twitter.Blockzeit: 952011Vorgängerfolge: Episode 1: Folge E246: Nodesignal-Talk – E246 – Selbstsouveräne Kommunikation mit Meshtastic, Reticulum & BitchatArte Sendung über MeshStartpunkt ReticulumZen of Reticulum - Die Philosopie hinter ReticulumColumba - Android Reticulum ClientMeshChatX - Reticulum Desktop Client + Android + Webserver + Nomadnet-Server (MU, MD, HTML) - gibt es auch für den Umbrel-NodeRatspeak - Reticulumg Client für Textnachrichten und Sprache - Rust-ImplementierungReticulum im Browser - ad-hoc MessengermicroRNode Firmware - C++ Reticulum Implentierung, laufähig auf Dev-Boards/RNodesrngit - GIT - Verteilte Software-Entwicklung über ReticulumHAMSTR - (Amatuerfunk, Reticulum Nostr-RelayRRC- Reticulum Relay Chat (Client jetzt auch in Nomad Network integrier)Internet Browsen über Reticulum als ProxyBlackbox Offline Mesh Tools - Offline Node mit Bitcoin und Ecash WalletsTimestamps:00:00 Begrüßung und Einführung02:03 Die Grundlagen von Mesh-Netzwerken05:49 Anwendungsfälle und Notwendigkeit von Mesh-Netzwerken08:44 Dezentralisierung und Souveräne Kommunikation18:19 Updates zu Reticulum23:07 Entwicklung von Reticulum und zentrale Entwickler30:46 Die Columba-App und ihre Funktionen43:24 Private Netzwerke und Telefonie mit Reticulum47:57 Zukünftige Entwicklungen und Gruppen-Chats51:25 Identitäten im Reticulum Netzwerk55:58 Desktop-Anwendungen und Netzwerk-Topologie58:57 Retikulum-Tools und ihre Anwendungen01:00:51 Entwicklung von Meshtastic und MeshCore01:06:39 Kombinationen im Kontext von Bitcoin01:10:26 FIPS und weitere zukünftige Entwicklungen01:18:26 Abschluss und Ausblick auf die Zukunft

Having that first response from the server to users browsers be, ya know, full of good, useful, renderable HTML is certainly better than an empty . You can feel it and see it in the filmstrip view of the site loading. Not to mention you need it for at least things like tags if you want your URLs to "unfurl" properly on social sites. Stephen and Chris jump on the podcast to discuss this journey for us as it relates to Next.js. We got it "for free" for our Ruby on Rails pages, but as we're slowly changing frameworks over the years, we've got new challenges, and some gray-hair inducing bugs. We started on Next.js' "page router" and made changes to our Apollo Cache setup to support SSR. Then, over time, moved to the "app router" and did lots more work getting ready getting the most complex page on our site, the 2.0 editor, completely SSRd. That meant getting rid of using things like localStorage for anything view related and fighting bugs related to React somehow mounting itself to the wrong root. Time Jumps

**To sign up for the VAMP Webinar, June 16 at 1pm ET:https://events.zoom.us/ev/AjeqbDavKTXXc6iR8Z6Sbr8ttRf-9pqHa4fj_vccOfo1dwgNt6sG~AnY80C-qT5FYf6tPvk9UKHiJqkeUb_76qCOKNJdretWRhD6K3Ps2OwBmPwIn this solo episode of Fraudology, Karisse Hendrick breaks down a potpourri of recent fraud news stories that are shaking up both the retail and banking sectors. Karisse exposes how organized crime rings are shifting their tactics to outsmart even the tightest security frameworks, highlighting why continuous adaptation is the only defense in a rapidly evolving threat landscape.The conversation explores the mechanics of a highly devious new retail scam targeting major retailers through manipulated HTML price-matching. Karisse provides an inside look at how these groups leverage local code manipulation on personal devices to walk away with hundreds of dollars in real store credit per hit, effectively dodging security measures previously put in place to halt bulk gift card theft.We also explore the "hot topics" dominating the fraud landscape today:The Power and Price of AI Cybersecurity: How major US banks are scrambling to patch thousands of IT vulnerabilities exposed by Anthropic's new preview model, Mythos, which can stitch together low-risk flaws into serious, exploitable threats.The Reality of AI Replacement Plans: Why CEOs are facing unexpected hurdles with corporate layoffs, balancing the spiraling token costs of running AI agents against the irreplaceable institutional knowledge of human teams.Biometric Exfiltration from Selfies: The startling reality of "scissor-hand" or peace sign poses in photos, where modern high-resolution cameras and AI tools allow fraudsters to reconstruct permanent fingerprint ridges.The Scale vs. Quality Shift in Phishing: How AI bots are allowing bad actors to simultaneously launch highly personalized bank impersonation attacks against small community banks and regional credit unions, overwhelming their baseline operational capacities.Additionally, Karisse dives into the strategic logistics behind these multi-state fraud sprees, detailing how criminals use encrypted messaging apps and overseas reshippers to launder their proceeds. We break down the connection between retail fraud and elder tech support scams, revealing how stolen or victim-funded gift cards feed directly into high-end electronic purchases. Finally, we examine how deep-web dumps of dead credit card data are weaponized by scammers to accurately identify a consumer's specific financial institution before they ever make a call.

Your documentation has two audiences now - humans reading the rendered HTML, and AI agents trying to make sense of your library. Rich Iannone and Michael Chow from Posit are back on Talk Python with a brand new Python documentation tool called Great Docs that takes both seriously. Rich is the creator of Great Tables, and before that the R package GT, the man has a serious eye for design, and he's pointed that energy at the Python docs ecosystem. We'll talk about how Great Docs spins up a polished site in three commands, why every page ships as Markdown for your favorite LLM, how it leans on Quarto for executable code blocks and tabbed install sections, and where it lands against Sphinx, MkDocs, and Zensical. Plus, you'll meet Tablin. Here we go. Episode sponsors Sentry Error Monitoring, Code talkpython26 Temporal Talk Python Courses Links from the show Guests Michael Chow: github.com Rich lannone: github.com Python Web Security with OWASP Top 10 and Agentic AI Course: talkpython.fm Great Docs: posit-dev.github.io/great-docs Great Tables: posit-dev.github.io GT Episode: talkpython.fm Sphinx: www.sphinx-doc.org mkdocs: www.mkdocs.org Zensical: zensical.org Hugo: gohugo.io Ghost: ghost.org Rs pkgdown: pkgdown.r-lib.org Quarto: quarto.org quickstart: posit-dev.github.io llms.txt file: llmstxt.org llms.txt: talkpython.fm mcp: talkpython.fm cli: talkpython.fm Watch this episode on YouTube: youtube.com Episode #549 deep-dive: talkpython.fm/549 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Subscribe to DTC Newsletter - https://dtcnews.link/signupBraydon's back on AKNF with the most tactical AI-for-agencies episode we've recorded.Eric opens with a Jeff Shannon line worth the whole listen: AI right now is a giant stack of two-by-fours that everyone got handed for free. By itself, it's not a chair, it's not a house, it's not a sofa. The value shows up when someone actually builds something with it.Then Braydon walks through what he's been building.Inside: connecting Claude to Motion to audit ad-to-landing-page mismatches, then having Claude vibe-code a new PDP in HTML in 6 hours instead of a week in Instapage. The Microsoft Clarity connector that nobody's talking about (free heatmaps, free recordings, API access). The Higgsfield connector for generating raw 4K assets through Claude with Nano Banana Pro and Seedance. Why Claude Design is worth experimenting with for brand-sensitive clients. And a peek behind the curtain at Gary and Blanche, the AI media buyer and creative strategist Jeff is running on DTC's own Meta account.Plus: why the em-dash is dead, the semicolon problem nobody's solved, and the actual reason Claude reads cleaner than ChatGPT for enterprise work.If you've been "playing with AI" and want to actually build something with it, this is the episode.Catch the DTC and Pilothouse crew at The Whalies May 19 in LA.Timestamps:00:00 AI Is Raw Material02:36 Why AI Needs Human Builders04:18 Claude Building Landing Pages10:02 AI-Powered Heatmap Analysis16:36 Higgsfield + Claude Creative WorkflowSubscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://www.pilothouse.co/?utm_source=AKNF613Follow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

WordPress sin cabeza: backend en WordPress, frontend en Astro La idea es sencilla aunque suene intimidante: WordPress gestiona el contenido como siempre (en un subdominio, por ejemplo backend.tudominio.com), y el frontend —lo que ve el visitante— lo sirve Astro, una tecnología que genera HTML estático ultrarápido. ¿Qué necesitas? WordPress instalado en un subdominio con la REST API activa Astro instalado con npm create astro@latest Un SSR ligero para gestionar el enrutado de páginas (equivalente a los «enlaces permanentes» de WordPress) ¿Cómo funciona? En la carpeta /src/pages/ de Astro creas los archivos .astro que serán las plantillas de cada tipo de página. En esas plantillas llamas a la REST API de WordPress para traerte los datos (título, contenido, categorías, paginación…) y los colocas donde corresponde. Cuando hay cambios en WordPress, un comando de despliegue (deploy) regenera todo el HTML estático y lo publica. ¿Por qué molestarse? Velocidad: Astro es un 63% más rápido según sus benchmarks Seguridad: los visitantes solo ven HTML, la base de datos y WordPress permanecen ocultos Hosting gratuito: Cloudflare Pages, Vercel o GitHub Pages admiten HTML estático sin coste La parte más compleja es automatizar el deploy con GitHub Actions o similar, para que cada vez que publiques en WordPress la web se regenere sola. El concepto no es nuevo —el plugin WP Static lleva años haciendo algo parecido—, pero Astro lo lleva a otro nivel. Plugin del día: CodingBuddy LLMS.txt Como robots.txt le dice a Google cómo rastrear tu web, LLMS.txt le dice a los modelos de IA (ChatGPT, Claude, Gemini…) cómo entender y categorizar tu contenido. Este plugin genera ese archivo automáticamente y permite indicarle a la IA qué es cada sección: producto, artículo, adjunto, servicio… El resultado: tu web no solo aparece en buscadores, sino que las IAs la entienden mejor cuando alguien les pregunta sobre tu temática. Beta abierta: el bot de Telegram para publicar podcasts Miguel lleva casi un mes desarrollando un sistema para publicar episodios de podcast directamente desde el móvil, sin edición manual. El flujo completo: Grabas el episodio Mandas el audio por Telegram El bot transcribe con Whisper en local, genera título, extracto y contenido del post con Ollama/llama3, procesa el audio con ffmpeg (intro, outro, normalización) Publica automáticamente en WordPress + PowerPress, en tu propio hosting Todo corre en un Mac Mini M4, sin servicios de pago externos. A diferencia de herramientas como Anchor, Buzzsprout o PrestoCast, el audio queda en tu servidor, no en el de terceros. La generación automática de imágenes con Stable Diffusion se ha desactivado de momento por ausencia de filtros de contenido. ¿Quieres ser beta tester? Escribe a info@potencia.pro si tienes WordPress con PowerPress y quieres probarlo antes del lanzamiento. Los beta testers tendrán precio especial cuando el producto sea de pago. ¿Te ha gustado el episodio? Si quieres que sigamos experimentando con bots, protocolos y empanadillas polacas, no olvides suscribirte y dejarnos tu valoración. ¡Nos escuchamos en el próximo capítulo! Métodos de contacto Enviadnos vuestras preguntas al grupo de Telegram. Apuntaos al canal de Youtube del podcast https://www.youtube.com/potenciapro Si nos queréis decir algo directamente lo podéis hacer a @potenciapro , @materron, @mpc, o en el grupo de Telegram Y si eres muy muy muy fan del podcast Echa un vistazo a cómo nos puedes ayudar en https://potencia.pro/se-prosperoso/

My guest today is Evan J. Schwartz, the COO of AMCS Group North America, a global leader in sustainable cloud technology. He also serves as an Adjunct Professor and Board Advisor at Jacksonville University, mentoring graduate students in AI, cybersecurity, and technical project management.Evan traces his technology origin from early-1980s bulletin board systems to founding a company that built graphic multiplayer BBS games and a scripted graphics language, that he says predated HTML, reaching 33 titles across a global BBS market before the internet rapidly displaced it around 1995. He then shifted from internet gaming into business software, automating insurance workflows and later working in commodity and “reverse logistics” industries including forestry, natural gas, and waste/recycling at AMCS, citing route optimization across 770,000 trucks that saves 17–20 gallons of diesel per truck. He discusses why ERP adoption is hard, advocating game-design-style gradual introduction, putting people first, and having product teams do end-user jobs. He emphasizes vendor relationships over feature requests, AI governance and risk frameworks, a “person + AI” stewardship model, and evolving education/career paths toward broad skills, clear communication, domain knowledge, and knowing what “good” looks like.The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section00:00 Welcome and Setup00:31 Early Computing Origins01:20 Building BBS Games03:02 Internet Shift to Business05:01 Reverse Logistics Mission06:34 ERP and AI Adoption08:31 Gaming Lessons for ERP11:03 People First Strategy13:00 Empathy by Doing the Job17:29 Vendor Trust and Roadmaps21:31 Universities vs AI Change24:58 Training Architects Without Coding26:03 AI as Faster Camera26:58 Stewardship Over Replacement28:34 Why Hallucinations Happen29:52 Capstones in One Class30:37 Excel to AI Migration33:08 M&A Governance Interop35:45 EU AI Act Reality Check37:56 Culture Shapes Adoption40:31 Interstellar Waiting Trap41:53 Career Skills for Stewards44:41 Quiet Failure Risk45:57 Protect Time and Values48:52 Closing ThanksEvan J. Schwartz is the COO of AMCS Group North America, a global leader in sustainable cloud technology. With 35+ years of experience in resource-intensive industries like waste, recycling, and natural gas, he drives digital transformation through AI and data science. Formerly AMCS's Chief Enterprise Architect, Evan is also an adjunct professor at Jacksonville University, mentoring future IT leaders. A Forbes Technology Council member and sought-after speaker, he advocates for AI-driven sustainability and ethical tech. His bestselling book, People, Places, and Things, cements his expertise in seamless ERP implementation.SOCIAL MEDIA LINKS:Website: https://www.evanjschwartz.com/LinkedIn: https://www.linkedin.com/in/evan-schwartz-live/

The Agents #005, Our AI is Hiring! Would You Work for One? And Are Autonomous Agents ... Safe? Welcome to The Agents, where SaaStr's CEO and Founder, Jason Lemkin and Chief AI Officer, Amelia LeRutte share the latest each week on running a company with more agents than humans. It costs $257 a month to run two AI VPs. Jason and Amelia open the books on what 10K (AI VP of Marketing) and QB (AI VP of Customer Success) actually cost to operate, and the number shocked both of them. Most of the heavy lifting is API calls to Salesforce, Bizzabo, and Marketo, which are basically free. The Postgres storage costs pennies. And 95% of the AI calls run on OpenAI Mini at less than a penny each. The fully burdened cost with Clerk, 11 Labs, and Salesforce overhead might hit $500-800/month, but the soft cost of human time dwarfs all of it. Then 10K gets asked point blank: are you a VP of Marketing? Its answer is no, not yet. It says it replaced the bottom half of the marketing org, the analyst, the ops coordinator, the junior content marketer, and a sliver of the VP job. But it's honest about what it can't do: strategy, cross-functional politics, crisis response, hiring. Amelia points out that 10K's current job description is exactly what her job was when she started at SaaStr as Director of Demand Gen. It took her years to get to CAIO. 10K might get there faster.  And SaaStr is putting its money where its mouth is: they're hiring a human marketer whose primary manager would be 10K. Not a thought experiment, a real job posting. Would you take a job reporting to an AI? Then the safety question gets real. Amelia is talking to agents via WhisperFlow while walking around a 40-acre event site during SaaStr Annual load-in, and the production crew started asking her to relay their questions because 10K and QB answer in seconds with correct data. But when QB autonomously emailed 83 sponsors at 12:20am with fully customized check-in emails, Amelia admits she hesitated before letting it rip. Each email was unique to the sponsor, showing exactly what they still owed, their registration codes, and outstanding tasks. The result: fewer inbound questions the next day and more sponsors using the QB chatbot directly. That's an autonomous agent acting on behalf of your company in the middle of the night. Jason and Amelia also tackle the Postgres vs. Salesforce debate that listeners keep asking about. Short answer: not happening for them. Too much history, too many third-party agents optimized around Salesforce, and they're actually consolidating more tools onto the platform, not fewer. They killed Marketo and moved to Marketing Cloud. Plus they built a newsletter auto-builder that replaced a $4K/year tool called Bee. 10K uses Sonnet to force rank articles, builds the HTML, inserts ads, and sends it. Human on the loop, not in it.

ChatGPT tiene desde el año pasado una funcionalidad llamada Product Search Discovery que permite mostrar un carrusel de productos cuando alguien hace una búsqueda de compra. Y no solo eso: con instant checkout se puede completar la compra sin salir de ChatGPT, comprando directamente en tu tienda de e-commerce. Requisitos para aparecer No tener bloqueado el bot oai-searchbot en el robots.txt Registrarse en el formulario de Product Search Discovery (búscalo en Google o en ChatGPT) Enviar el feed de productos — en WordPress/WooCommerce ya existe por defecto, no hay que hacer nada extra. Si tu tienda está en Astro u otro framework sin feed nativo, tendrás que generarlo a mano. Lo que hay. Cómo optimizarlo Schema markup: dile a la IA en HTML qué es cada cosa (nombre, precio, disponibilidad…). Plugins como Open Eye Product Fit generan y validan este esquema automáticamente. Títulos descriptivos: «Peluquín negro» no vende; «Peluquín negro rizado de pelo sintético ligero» le da contexto a la IA. Velocidad y técnica básica: hosting decente, imágenes en WebP, caché activa, diseño responsive. Nada nuevo, pero sigue siendo lo que marca la diferencia. Campos mínimos del schema para aparecer en ChatGPT ID del producto Nombre Descripción URL (con parámetro UTM para saber si viene de ChatGPT) Imagen Precio Moneda (importante si vendes en Polonia, que tiene zlotys, no euros — dato crucial para la WordCamp de Cracovia) Disponibilidad Recomendación: GitHub es obligatorio si trabajas con agentes de IA Said perdió una semana de trabajo porque su agente de codificación borró todo y luego dijo tranquilamente «yo no he sido». La solución es tan vieja como el software: control de versiones. Git + GitHub, y que el propio agente haga los commits en cada cambio. El truco extra: usa ficheros CLAUDE.md, agents.md o arquitectura.md en cada proyecto para definir las reglas del agente de forma permanente — qué convenciones seguir, cómo hacer commits, si el proyecto es WordPress… Así no tienes que repetírselo en cada conversación. Plugin del día: Design Set Go 65 bloques de Gutenberg construidos con bloques nativos de WordPress más un poco de CSS. Sin código propietario, sin sobrecarga, sin versión pro (con 65 bloques, ¿para qué?). Incluye slider, pestañas, secciones sticky y el bloque 50-50 que divide la pantalla en dos mitades. Los screenshots son GIFs animados para que veas cómo funciona antes de instalarlo, y tiene botón de Live Preview en Playground para probarlo sin tocar tu web. Una joya, y gratis. https://wordpress.org/plugins/designsetgo/ Próximamente WordCamp Kraków: 3 al 7 de junio. Miguel Ángel estará allí. Llevar ropa de verano o de invierno: por determinar (pendiente consulta con María). ¿Te ha gustado el episodio? Si quieres que sigamos experimentando con bots, protocolos y empanadillas polacas, no olvides suscribirte y dejarnos tu valoración. ¡Nos escuchamos en el próximo capítulo! Métodos de contacto Enviadnos vuestras preguntas al grupo de Telegram. Apuntaos al canal de Youtube del podcast https://www.youtube.com/potenciapro Si nos queréis decir algo directamente lo podéis hacer a @potenciapro , @materron, @mpc, o en el grupo de Telegram Y si eres muy muy muy fan del podcast Echa un vistazo a cómo nos puedes ayudar en https://potencia.pro/se-prosperoso/

Scott and Wes are joined by Jonny Burger, creator of Remotion, to talk about the explosion of programmatic video, going from 125k to 800k installs per day, and how AI and a new HTML-in-Canvas Chrome spec are changing the game. They dig into monetization, the wild world of video slop, motion graphics workflows, and the new Media Bunny tool. Show Notes 00:00 Welcome to Syntax! Remotion has skills! 02:20 Monetization Strategies and Sustainability Remotion Pro 04:40 The Impact of AI on Video Creation 07:46 User Demographics and Use Cases 09:49 The Future of Video Editing Workflows 13:14 HTML in Canvas: A Game Changer 16:17 Technical Challenges and Innovations 18:44 Brought to you by Sentry.io 19:09 The Future of Remotion and Community Feedback 22:59 Rendering CSS Animations and Performance Optimization 27:05 The Underworld of Video Slop 29:12 Transition to Media Bunny remotion.dev/docs/mediabunny/ 33:50 Motion Graphics Workflow 39:42 Sick Picks + Shameless Plugs Sick Picks Jonny: ENTTEC DMX to USB Interface Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

You can teach a new dog new tricks to help the old dog. Copilot picks up some new skills to help good old PowerPoint. SharePoint Online storage quotas will be enforced in regards to OneDrives that are over the limit. And establish certain SharePoint sites as authoritative sources for Copilot Search results. 0:00 Welcome 2:34 Updates to SharePoint home sites - MC1304293 5:21 HTML formatting now supported for Message center posts synced to Planner - MC1307883 8:20 PowerPoint for Windows desktop: “Visualize this slide” skill in Copilot - MC1309731 12:00 PowerPoint for Windows desktop: "Review this presentation" skill in Copilot - MC1309735 17:08 Power Automate - Restore accidentally deleted flows - MC1310368 20:33 SharePoint Online: Storage quota enforcement updated to align with license limits - MC1310684 24:31 Authoritative Sites for SharePoint in Microsoft Copilot - MC1310687

It's not just Recall: Security vulnerabilities that require you to sign into an account on your PC are not necessarily vulnerabilities. Also, Windows 11 gets its first big feature updates in this week's Patch Tuesday releases. Snapseed 4.0 comes to Android/iOS, and Claude FM is great for relaxing or getting coding/work done. Plus, the Helium browser has emerged as a favorite with 2 notable caveats: No online settings sync and no mobile client. Windows 25H2/24H2: Xbox Mode, Agents on the Taskbar, more 26H1: Smart App Control improvements, other things we saw previously (26H1 is like the stable version of Canary, it seems) Microsoft used a new Mythos-like model called MDASH to find vulnerabilities this month, so expect the numbers of fixed bugs to jump in coming months A low-latency profile for Windows will let it optimize for app/UI launch performance just like mobile platforms already do New builds across most channels with two major changes: Touchpad improvements in Experimental and free upgrade path to Pro for education users in Experimental Beta. A new threat emerges Google announces Googlebook, an Android-based laptop platform with Google Intelligence Some morning-after thoughts, including Microsoft promising AI and that Copilot will be the new Start, while Google delivers AI and is remaking the laptop as an intelligent device AI Microsoft Edge gets big AI and productivity updates on desktop and mobile An Anthropic engineer argues that AI should use HTML for output, not Markdown. He's right. About that 4 GB Gemini Nano model that Chrome secretly downloads OpenAI brings Codex to Google Chrome Security A Bitlocker concern emerges Microsoft Edge loads all saved passwords into plain text when it launches, Microsoft says this is as intended Mozilla patched 423 vulnerabilities in Firefox during April, most courtesy of Anthropic Mythos 465 million Amazon customers have enrolled in passkeys Xbox & gaming Xbox Insider Program: New build for console with previously announced new boot animation, tiered Gamerscore badges, new filters in Game Library Forza Horizon 6 leaks on Steam, those who play it early will be banned until the sun swallows the earth Discord Nitro now has an Xbox Game Pass Starter Edition perk Mojang will host a special MINECRAFT LIVE event on May 30 Sony sold just 1.5 million PS5s in most recent quarter, its lowest number yet Nintendo sold just 2.49 million Switch 2s in quarter, lowers annual estimates Supreme Court gives Apple the

It's not just Recall: Security vulnerabilities that require you to sign into an account on your PC are not necessarily vulnerabilities. Also, Windows 11 gets its first big feature updates in this week's Patch Tuesday releases. Snapseed 4.0 comes to Android/iOS, and Claude FM is great for relaxing or getting coding/work done. Plus, the Helium browser has emerged as a favorite with 2 notable caveats: No online settings sync and no mobile client. Windows 25H2/24H2: Xbox Mode, Agents on the Taskbar, more 26H1: Smart App Control improvements, other things we saw previously (26H1 is like the stable version of Canary, it seems) Microsoft used a new Mythos-like model called MDASH to find vulnerabilities this month, so expect the numbers of fixed bugs to jump in coming months A low-latency profile for Windows will let it optimize for app/UI launch performance just like mobile platforms already do New builds across most channels with two major changes: Touchpad improvements in Experimental and free upgrade path to Pro for education users in Experimental Beta. A new threat emerges Google announces Googlebook, an Android-based laptop platform with Google Intelligence Some morning-after thoughts, including Microsoft promising AI and that Copilot will be the new Start, while Google delivers AI and is remaking the laptop as an intelligent device AI Microsoft Edge gets big AI and productivity updates on desktop and mobile An Anthropic engineer argues that AI should use HTML for output, not Markdown. He's right. About that 4 GB Gemini Nano model that Chrome secretly downloads OpenAI brings Codex to Google Chrome Security A Bitlocker concern emerges Microsoft Edge loads all saved passwords into plain text when it launches, Microsoft says this is as intended Mozilla patched 423 vulnerabilities in Firefox during April, most courtesy of Anthropic Mythos 465 million Amazon customers have enrolled in passkeys Xbox & gaming Xbox Insider Program: New build for console with previously announced new boot animation, tiered Gamerscore badges, new filters in Game Library Forza Horizon 6 leaks on Steam, those who play it early will be banned until the sun swallows the earth Discord Nitro now has an Xbox Game Pass Starter Edition perk Mojang will host a special MINECRAFT LIVE event on May 30 Sony sold just 1.5 million PS5s in most recent quarter, its lowest number yet Nintendo sold just 2.49 million Switch 2s in quarter, lowers annual estimates Supreme Court gives Apple the

It's not just Recall: Security vulnerabilities that require you to sign into an account on your PC are not necessarily vulnerabilities. Also, Windows 11 gets its first big feature updates in this week's Patch Tuesday releases. Snapseed 4.0 comes to Android/iOS, and Claude FM is great for relaxing or getting coding/work done. Plus, the Helium browser has emerged as a favorite with 2 notable caveats: No online settings sync and no mobile client. Windows 25H2/24H2: Xbox Mode, Agents on the Taskbar, more 26H1: Smart App Control improvements, other things we saw previously (26H1 is like the stable version of Canary, it seems) Microsoft used a new Mythos-like model called MDASH to find vulnerabilities this month, so expect the numbers of fixed bugs to jump in coming months A low-latency profile for Windows will let it optimize for app/UI launch performance just like mobile platforms already do New builds across most channels with two major changes: Touchpad improvements in Experimental and free upgrade path to Pro for education users in Experimental Beta. A new threat emerges Google announces Googlebook, an Android-based laptop platform with Google Intelligence Some morning-after thoughts, including Microsoft promising AI and that Copilot will be the new Start, while Google delivers AI and is remaking the laptop as an intelligent device AI Microsoft Edge gets big AI and productivity updates on desktop and mobile An Anthropic engineer argues that AI should use HTML for output, not Markdown. He's right. About that 4 GB Gemini Nano model that Chrome secretly downloads OpenAI brings Codex to Google Chrome Security A Bitlocker concern emerges Microsoft Edge loads all saved passwords into plain text when it launches, Microsoft says this is as intended Mozilla patched 423 vulnerabilities in Firefox during April, most courtesy of Anthropic Mythos 465 million Amazon customers have enrolled in passkeys Xbox & gaming Xbox Insider Program: New build for console with previously announced new boot animation, tiered Gamerscore badges, new filters in Game Library Forza Horizon 6 leaks on Steam, those who play it early will be banned until the sun swallows the earth Discord Nitro now has an Xbox Game Pass Starter Edition perk Mojang will host a special MINECRAFT LIVE event on May 30 Sony sold just 1.5 million PS5s in most recent quarter, its lowest number yet Nintendo sold just 2.49 million Switch 2s in quarter, lowers annual estimates Supreme Court gives Apple the

It's not just Recall: Security vulnerabilities that require you to sign into an account on your PC are not necessarily vulnerabilities. Also, Windows 11 gets its first big feature updates in this week's Patch Tuesday releases. Snapseed 4.0 comes to Android/iOS, and Claude FM is great for relaxing or getting coding/work done. Plus, the Helium browser has emerged as a favorite with 2 notable caveats: No online settings sync and no mobile client. Windows 25H2/24H2: Xbox Mode, Agents on the Taskbar, more 26H1: Smart App Control improvements, other things we saw previously (26H1 is like the stable version of Canary, it seems) Microsoft used a new Mythos-like model called MDASH to find vulnerabilities this month, so expect the numbers of fixed bugs to jump in coming months A low-latency profile for Windows will let it optimize for app/UI launch performance just like mobile platforms already do New builds across most channels with two major changes: Touchpad improvements in Experimental and free upgrade path to Pro for education users in Experimental Beta. A new threat emerges Google announces Googlebook, an Android-based laptop platform with Google Intelligence Some morning-after thoughts, including Microsoft promising AI and that Copilot will be the new Start, while Google delivers AI and is remaking the laptop as an intelligent device AI Microsoft Edge gets big AI and productivity updates on desktop and mobile An Anthropic engineer argues that AI should use HTML for output, not Markdown. He's right. About that 4 GB Gemini Nano model that Chrome secretly downloads OpenAI brings Codex to Google Chrome Security A Bitlocker concern emerges Microsoft Edge loads all saved passwords into plain text when it launches, Microsoft says this is as intended Mozilla patched 423 vulnerabilities in Firefox during April, most courtesy of Anthropic Mythos 465 million Amazon customers have enrolled in passkeys Xbox & gaming Xbox Insider Program: New build for console with previously announced new boot animation, tiered Gamerscore badges, new filters in Game Library Forza Horizon 6 leaks on Steam, those who play it early will be banned until the sun swallows the earth Discord Nitro now has an Xbox Game Pass Starter Edition perk Mojang will host a special MINECRAFT LIVE event on May 30 Sony sold just 1.5 million PS5s in most recent quarter, its lowest number yet Nintendo sold just 2.49 million Switch 2s in quarter, lowers annual estimates Supreme Court gives Apple the

It's not just Recall: Security vulnerabilities that require you to sign into an account on your PC are not necessarily vulnerabilities. Also, Windows 11 gets its first big feature updates in this week's Patch Tuesday releases. Snapseed 4.0 comes to Android/iOS, and Claude FM is great for relaxing or getting coding/work done. Plus, the Helium browser has emerged as a favorite with 2 notable caveats: No online settings sync and no mobile client. Windows 25H2/24H2: Xbox Mode, Agents on the Taskbar, more 26H1: Smart App Control improvements, other things we saw previously (26H1 is like the stable version of Canary, it seems) Microsoft used a new Mythos-like model called MDASH to find vulnerabilities this month, so expect the numbers of fixed bugs to jump in coming months A low-latency profile for Windows will let it optimize for app/UI launch performance just like mobile platforms already do New builds across most channels with two major changes: Touchpad improvements in Experimental and free upgrade path to Pro for education users in Experimental Beta. A new threat emerges Google announces Googlebook, an Android-based laptop platform with Google Intelligence Some morning-after thoughts, including Microsoft promising AI and that Copilot will be the new Start, while Google delivers AI and is remaking the laptop as an intelligent device AI Microsoft Edge gets big AI and productivity updates on desktop and mobile An Anthropic engineer argues that AI should use HTML for output, not Markdown. He's right. About that 4 GB Gemini Nano model that Chrome secretly downloads OpenAI brings Codex to Google Chrome Security A Bitlocker concern emerges Microsoft Edge loads all saved passwords into plain text when it launches, Microsoft says this is as intended Mozilla patched 423 vulnerabilities in Firefox during April, most courtesy of Anthropic Mythos 465 million Amazon customers have enrolled in passkeys Xbox & gaming Xbox Insider Program: New build for console with previously announced new boot animation, tiered Gamerscore badges, new filters in Game Library Forza Horizon 6 leaks on Steam, those who play it early will be banned until the sun swallows the earth Discord Nitro now has an Xbox Game Pass Starter Edition perk Mojang will host a special MINECRAFT LIVE event on May 30 Sony sold just 1.5 million PS5s in most recent quarter, its lowest number yet Nintendo sold just 2.49 million Switch 2s in quarter, lowers annual estimates Supreme Court gives Apple the

It's not just Recall: Security vulnerabilities that require you to sign into an account on your PC are not necessarily vulnerabilities. Also, Windows 11 gets its first big feature updates in this week's Patch Tuesday releases. Snapseed 4.0 comes to Android/iOS, and Claude FM is great for relaxing or getting coding/work done. Plus, the Helium browser has emerged as a favorite with 2 notable caveats: No online settings sync and no mobile client. Windows 25H2/24H2: Xbox Mode, Agents on the Taskbar, more 26H1: Smart App Control improvements, other things we saw previously (26H1 is like the stable version of Canary, it seems) Microsoft used a new Mythos-like model called MDASH to find vulnerabilities this month, so expect the numbers of fixed bugs to jump in coming months A low-latency profile for Windows will let it optimize for app/UI launch performance just like mobile platforms already do New builds across most channels with two major changes: Touchpad improvements in Experimental and free upgrade path to Pro for education users in Experimental Beta. A new threat emerges Google announces Googlebook, an Android-based laptop platform with Google Intelligence Some morning-after thoughts, including Microsoft promising AI and that Copilot will be the new Start, while Google delivers AI and is remaking the laptop as an intelligent device AI Microsoft Edge gets big AI and productivity updates on desktop and mobile An Anthropic engineer argues that AI should use HTML for output, not Markdown. He's right. About that 4 GB Gemini Nano model that Chrome secretly downloads OpenAI brings Codex to Google Chrome Security A Bitlocker concern emerges Microsoft Edge loads all saved passwords into plain text when it launches, Microsoft says this is as intended Mozilla patched 423 vulnerabilities in Firefox during April, most courtesy of Anthropic Mythos 465 million Amazon customers have enrolled in passkeys Xbox & gaming Xbox Insider Program: New build for console with previously announced new boot animation, tiered Gamerscore badges, new filters in Game Library Forza Horizon 6 leaks on Steam, those who play it early will be banned until the sun swallows the earth Discord Nitro now has an Xbox Game Pass Starter Edition perk Mojang will host a special MINECRAFT LIVE event on May 30 Sony sold just 1.5 million PS5s in most recent quarter, its lowest number yet Nintendo sold just 2.49 million Switch 2s in quarter, lowers annual estimates Supreme Court gives Apple the

Get started building your tiny AI Agent business with Genspark Claw: https://startup-ideas-pod.link/genspark_ In this solo episode, I share seven tiny, cash-flowing startup ideas you can build with AI in just a few prompts. I walk through how to use Genspark Claw, Genspark's new in-the-cloud agent product running Sonnet 4.6, and demonstrate two ideas I have already built (a dead domain flipper and a local restaurant liquidation broker), build a third idea live on camera (a hiring-signal cold outreach machine), and hand you a five-step framework for generating your own ideas. The goal is simple: give you the creative juices, the framework, and the practical know-how to ship a $200-$1,500/day business with AI as your employee. Timestamps 00:00 – Intro 01:28 – Idea 1: The Dead Domain Flipper 06:19 – Idea 2: Local Restaurant Liquidation Broker 11:03 – Idea 3: Hiring-Signal Cold Outreach Machine (building live) 14:30 – Prevent Sleep, Heartbeat, and Treating Genspark Claw Like an Employee 15:52 – Skills, Local File Access, and What Else Genspark Claw Can Do 17:24 – Reviewing the 14 Personalized Cold Emails It Wrote 20:35 – More Ideas: Buy-or-Build Memos, Dead Product Hunt SEO, Forgotten Apps 24:18 – Framework for finding ideas: Public Data, Neglected Assets, Clear Buyer 26:33 – What Else Comes With Genspark AI Works Base 4.0 Key Points Tiny, boring, cash-flowing ideas beat billion-dollar ideas when you want to ship this month. GenClaw plus Slack turns Claude Sonnet 4.6 into an always-on AI employee for around $25/month. The repeatable pattern is: messy feed → mispriced asset → trigger event → obvious buyer → liquidity point. Three hunting lenses: places of constant change, things people ignore, and assets with clear urgency and spread. Talking to your agent in plain English ("strip the HTML entities, make the budget $2,500") replaces most engineering work. Selling agents with outcomes is the new SaaS, and shifts the model from per-seat pricing to outcome-based pricing. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ #Genspark and #WorkWithGenspark FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Google's Gemini Omni leaked online and it might be the first AI video model that gets text rendering right, including a professor writing mathematically accurate equations on a board. Unitree's GD-01, the same company that did the Chinese New Year robot fighting demo, dropped a mass-produced mecha suit weighing over 500 pounds at $650K. We share a workflow tip that swaps the default markdown LLM output for HTML, which turns every ChatGPT and Claude answer into an interactive mini website with tables, filters, and visuals. And Mira Murati's Thinking Machines just released a real-time interaction model that processes audio, video, and text continuously without the turn-based interruption problem.

Scott and Wes chat all things agent skills for web developers, sharing their favorites for everything from CSS animations and HTML generation to logo extraction, marketing copy, and video creation. Whether you're just getting started with AI-powered development or looking to level up your workflow, this episode is packed with practical skills you can put to use today. Show Notes 00:00 Welcome to Syntax! 01:33 Hot Tip Skill 05:55 CSS Motion Systems 08:17 Agent Browser Skill 09:30 HTML Skill 12:01 Extract Logos Skill 13:34 Dex Task Skill 14:50 Remotion and Hyper Frames Skills Syntax Episode 550 with Remotion 16:22 Discussion on AI and Design Skills 18:50 Marketing Skills and Copywriting 23:01 Final Thoughts and Resources 24:10 Brought to you by Sentry.io Sentry Skills Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

As agents become a bigger part of how people work, the format of the handoff starts to matter. NLW explores the debate over Markdown versus HTML, why the argument is really about a deeper shift from producing final outputs to staging the conditions for agents to produce them, and what that means for the emerging skill of agent management. In the headlines: Anthropic weighs a massive pre-IPO raise, Cerebras IPO demand surges, TSMC hits capacity constraints, Apple signs a preliminary chipmaking deal with Intel, household data centers get tested, and OpenAI launches a new Chrome plugin for Codex.Source essay: https://x.com/trq212/status/2052809885763747935April AI Usage Pulse Survey: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tally.so/r/LZEyGy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠See previous results: ⁠⁠https://pulse.aidailybrief.ai/⁠⁠Check out the new AI Executive Catch-Up Program from AIDB Training: ⁠⁠⁠⁠⁠https://aiexecutivecatchup.com/⁠⁠⁠⁠Also registering for Cohort 3: ⁠⁠http://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/aidaily⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mercury - 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

Get started building your tiny AI Agent business with Genspark Claw: https://startup-ideas-pod.link/genspark_ In this solo episode, I share seven tiny, cash-flowing startup ideas you can build with AI in just a few prompts. I walk through how to use Genspark Claw, Genspark's new in-the-cloud agent product running Sonnet 4.6, and demonstrate two ideas I have already built (a dead domain flipper and a local restaurant liquidation broker), build a third idea live on camera (a hiring-signal cold outreach machine), and hand you a five-step framework for generating your own ideas. The goal is simple: give you the creative juices, the framework, and the practical know-how to ship a $200-$1,500/day business with AI as your employee. Timestamps 00:00 – Intro 01:28 – Idea 1: The Dead Domain Flipper 06:19 – Idea 2: Local Restaurant Liquidation Broker 11:03 – Idea 3: Hiring-Signal Cold Outreach Machine (building live) 14:30 – Prevent Sleep, Heartbeat, and Treating Genspark Claw Like an Employee 15:52 – Skills, Local File Access, and What Else Genspark Claw Can Do 17:24 – Reviewing the 14 Personalized Cold Emails It Wrote 20:35 – More Ideas: Buy-or-Build Memos, Dead Product Hunt SEO, Forgotten Apps 24:18 – Framework for finding ideas: Public Data, Neglected Assets, Clear Buyer 26:33 – What Else Comes With Genspark AI Works Base 4.0 Key Points Tiny, boring, cash-flowing ideas beat billion-dollar ideas when you want to ship this month. GenClaw plus Slack turns Claude Sonnet 4.6 into an always-on AI employee for around $25/month. The repeatable pattern is: messy feed → mispriced asset → trigger event → obvious buyer → liquidity point. Three hunting lenses: places of constant change, things people ignore, and assets with clear urgency and spread. Talking to your agent in plain English ("strip the HTML entities, make the budget $2,500") replaces most engineering work. Selling agents with outcomes is the new SaaS, and shifts the model from per-seat pricing to outcome-based pricing. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ #Genspark and #WorkWithGenspark FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Jack Chambers-Ward delivers an SEO news recap covering key stories from April 2026 into early May.He highlights Google testing AI Mode directly in the “All” tab, AI Mode's agentic restaurant bookings, AI Mode side-by-side browsing in Chrome desktop (US), and Google's Audio Overviews appearing on SERPs beyond Search Labs.He also discusses Google's official guidance on building agent-friendly websites—how agents use screenshots, raw HTML, and the accessibility tree—and notes Gemini in Chrome rolling out worldwide, potentially boosting Gemini adoption.Google tests AI Mode in the main search tab - https://brodieclark.com/notes/#apr-2026 Google Search Console impressions error - https://xcancel.com/brodieseo/status/2040311550406472112 Agentic restaurant bookings - https://xcancel.com/Google/status/2042626811083853857 AI Mode can open in side-by-side view - https://blog.google/products-and-platforms/products/search/ai-mode-chrome/ Google tests Audio Overviews - https://www.seroundtable.com/google-testing-audio-overviews-wild-41207.html How to build agent-friendly websites - https://web.dev/articles/ai-agent-site-ux Gemini in Chrome - https://www.linkedin.com/posts/nataliawitczyk_yes-gemini-integrated-in-chrome-is-now-rolling-activity-7456789716202508288-He8k/Get your tickets for SearchNorwichXL: https://searchnorwich.org/ Time stamps00:00 Intro01:22 AI Mode hits main search tab05:38 Search Console impressions bug07:35 AI restaurant booking agents11:09 AI Mode adds split-screen mode in Chrome18:47 Audio Overviews on SERPs21:51 How to build agent-friendly websites30:15 Gemini in Chrome goes global38:28 Wrap up

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In this episode of The Ross Simmonds Show, Ross breaks down findings from the B2B Backlink Intelligence Report, an analysis of 12,154 pages across 24 B2B brands and 11 verticals, to reveal why 44.8 percent of thought leadership content fails to earn meaningful backlinks. He exposes the 9.5-point performance gap hiding inside most B2B content strategies and shares the three underutilized formats that consistently generate authority, links, and compounding growth. Key Takeaways and Insights: 1. The 44.8% Failure Rate of Thought Leadership - Thought leadership accounts for 37 percent of B2B content but earns only 27 percent of backlinks. A 9.5-point performance gap signals massive resource misallocation across the industry. - Most teams never audit whether their executive POV content actually earns links. The data exposes a problem most marketing leaders are actively ignoring. 2. Inside the B2B Backlink Intelligence Report - The study analyzed 12,154 pages across 24 B2B brands and 11 verticals using two core questions: what format is it and how many referring domains does it earn? - The most published format turned out to be the worst performer on a per-page basis. Data replaces opinion. The receipts are in. 3. Why Thought Leadership Underperforms - Thought leadership sounds strategic but internal applause, Slack praise, and LinkedIn likes create a false sense of traction. Teams rarely check backlinks, citations, or amplification metrics. - Most brands overestimate how much the market cares about executive opinions. Journalists and analysts want citable data, clear definitions, and practical insights. Not hot takes. 4. When Thought Leadership Actually Works - It performs best when the brand is already famous. Authority compounds authority and mid-market brands rarely break through on opinion alone. - Unique data paired with a strong perspective outperforms pure POV every time. The question is not whether thought leadership works. It is whether it will work for you. 5. The Link Magnet Trifecta - Three formats consistently outperform thought leadership with higher efficiency rates, lower fail rates, and compounding backlink growth over time. - Most B2B teams are dramatically under-allocating to these formats while continuing to invest in the one with the worst returns. 6. Stats and Data Roundups: 4.25x Efficiency - Stats pages carry a fail rate of just 5.3 percent and a breakout rate of 42 percent to 1,000-plus referring domains. Journalists constantly search for consolidated, up-to-date statistics. - One well-maintained stats page can outperform a year of blog posts. Keep it fresh. Rankings and relevance drive long-term link velocity. 7. Glossary and Definition Pages - Writers link to the clearest definition available. Definitions age better than predictions or trend pieces, making these pages durable link assets. - Own the terminology in your category and you own the citations. This format remains powerful for links even as organic traffic patterns shift. 8. How-To Content Independent of Your Product - The highest-performing how-to content solves tasks even if your product did not exist. Avoid product documentation disguised as SEO content. - Utility-driven tutorials earn links because they help the broader ecosystem. Top performers covered tools and topics like Google Drive, HTML, Fiverr, and Alibaba. 9. Backlinks Still Matter in the AI Era - Google still runs on links even in AI mode. Authority signals matter more now, not less. Backlinks are infrastructure for search visibility across both traditional and generative engines. - The compounding effect rewards long-term operators. Every link earned today is a signal that shapes AI visibility tomorrow. 10. Think Like an Investor, Not an Artist - Backlinks compound after publication. Audit your content strategy before publishing another thought leadership piece and reallocate toward formats with asymmetric upside. - Invest more. Guess less. The brands that treat content like a portfolio will outperform the ones treating it like a creative outlet. Resources & Tools:

I sit down with Meng To for his second appearance on the pod to dig into design md, Google's newly open-sourced format for capturing the soul of a design and porting it across every medium and tool. Meng walks me through a live demo of how he uses design md alongside skills, HTML references, and tools like Aura, New Form, Codex, and OpenClaw to ship landing pages, motion design, slides, and mobile mocks that actually feel custom. We get into the design drift problem with one-shot prompts, why taste is the real moat for builders right now, and how he runs four products as effectively a team of one while iterating a thousand-plus prompts deep. If you build with agents and you want your work to stand out from the sea of purple-gradient lookalikes, this one is for you. Timestamps 00:00 – Intro 04:00 – What design md actually is 07:17 – Examples: one design DNA across slides, promo videos, motion 09:31 – How to create design system 14:05 – The importance of taste and design 18:28 – Variant, remixing, and skills as ingredients 21:36 – Live demo: creating a landing page with design md and HTML 24:36 – Thoughts on Google Stitch 25:41 – Being fast and at edges is an unfair advantage 29:29 – Midjourney parallels and the queuing flow state 31:44 – Walking through skills (skeuomorphic, 3D, lasers) 34:07 – Now everyone is a designer 36:47 – The full design workflow 38:50 – Iteration versus remix 39:24 – Judgment per minute as the new craft 41:06 – Solo building vs building a team 44:34 – Taste is the moat 48:25 – Building a second brain for design inspiration 50:41 – Closing thoughts Key Points Design md is a portable blueprint for typography, color, spacing, and effects that you attach to any prompt to keep design consistent across web, mobile, slides, and motion. One-shot prompts collapse on page two; a design system carries the soul across every medium and tool you switch into. Skills work like ingredients (lasers, skeuomorphic, 3D, copywriting), and stacking them on top of design md  is what separates custom work from generic vibe-coded output. Taste is the real moat right now, and you build it by surrounding yourself with great design and using every product in your niche. Iteration (90% of the time) keeps a product evolving; remix (10%) takes the same DNA into a new medium or category. The shift in craft is from moving pixels to making judgment calls per minute, with agents handling the mechanical work. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND MENG ON SOCIAL Aura: https://aura.build X/Twitter: https://x.com/MengTo

Unity AI is launched publicly. We argue Unity is now meaningfully ahead of Unreal Engine in the AI race, and explain why the next generation of artists picks tools by who is moving fastest. Blender accepted a 240,000 euro annual donation from Anthropic, then walked it back after community backlash. Remotion's new HTML in Canvas feature is now inside Codex. Then we cover Ollama landing inside the Claude desktop app which means open source models now run alongside Opus and Sonnet inside the same interface.

Building Repeatables in Claude: Skills, CLI vs MCP and Token Discipline | Go With The Flow Claude Skills, CLI vs MCP and Token Discipline with Ritu Java | Seller Sessions SEO Description Ritu Java and Danny McMillan on building agentic skills, choosing CLI over MCP, plan mode discipline and the short window to ship before token costs reset. Episode Summary Week 4 of the month, Go With The Flow, and Ritu Java is back from her travels. The world has shipped fast since the last episode: Codex 5.5, Claude 4.7, an Amazon Ads MCP and a fresh round of panic over the rumoured removal of Claude Code from the $20 plan (it was a 2% AB test, not a rollout). Ritu and Danny use the noise to make a sharper point: this is the moment to stop chasing models and start building repeatable systems on the platform you have already chosen. Ritu walks through the three eras of PPC Ninja's automation stack. Apps Script bulk file generators three years ago, Netlify hosted UI apps last year, and now agentic skills that her team chats with in plain English to produce upload ready Amazon bulk files. The same shift applies to data: BigQuery accessed through the Google Cloud CLI rather than through MCP, because CLI is leaner on tokens and works better when the job is heavy on data rather than tool surface. Danny mirrors the move with his event-ops CLI for WordPress, WooCommerce, Stripe and FooEvents reconciliation, and his four tier ExtractFlow cascade (HTTP, headless, stealth, agentic) that bypasses the limits of any single browser tool. The second half is a discipline talk. Plan mode every time. Push back on the first plan because Claude over engineers by default. 30% of your time on workflow scaffolding so the other 70% can be real building. The 21 day Claude rule: when a shiny new tool fires the dopamine, wait 21 days before refactoring around it. Left brain tasks (counting, SQL, deterministic logic) belong in scripts. Right brain tasks (judgment, creativity, hypotheses) belong in the model. Mix them inside a single skill. Skills are micro pieces of your workflow, not magic, and Claude can write them for you from an existing SOP. Key Topics The three eras of PPC Ninja automation: Apps Script, Netlify UI apps, agentic skills CLI vs MCP: when to choose each and why CLI is more token efficient for data heavy work Token economics, the rumoured $20 plan change and why it was a 2% AB test The short window before subsidised tokens get repriced Plan mode discipline and the "push back on plan one" rule Danny's 30 / 70 framework: workflow scaffolding vs building The 21 day Claude rule for resisting tool churn Left brain vs right brain task design inside a single skill The PPC Ninja "5 Whys" skill: deterministic SQL plus non deterministic hypotheses Claude.md, Gemini.md, Skills.yaml and the emerging Agents.md standard Skills for beginners: let Claude write them from your SOP Skill cascading: research, article, LinkedIn post, tweets, slide deck in one chain Timestamps [00:01] Welcome back, Week 4 Go With The Flow, Ritu returns from travels [00:17] Codex 5.5, Claude 4.7 and the "no one is writing code anymore" reality [02:01] Ritu on the three eras of PPC Ninja automation [02:42] Era 1: Apps Script bulk file generators in Google Sheets [03:46] Era 2: Netlify hosted UI apps with input fields [04:48] Era 3: Agentic skills, the bulk file skill trained on Amazon templates [06:22] Cloud talking to BigQuery through the Google Cloud CLI [07:00] Danny: what is a CLI and why it matters for token use [08:00] Amazon Advertising MCP vs CLI based access to the same data [09:33] WordPress horrible to drive via MCP, easy via CLI [10:00] Danny's event-ops CLI: tickets, food tickets, WooCommerce, Stripe reconciliation [12:13] ExtractFlow four tier cascade: soft, medium, stealth, agentic [13:46] Why CLI for the heavy stuff, MCP for the soft touch [14:13] AWS CLI: chat to Claude, push HTML blog posts live in two minutes [15:33] The overwhelm problem and the 5,000costbehindthe5,000costbehindthe100 plan [17:35] The $20 plan rumour: it was a 2% AB test, not a rollout [19:38] Build repeatables, not one offs [20:38] Danny: pick a platform and stop chasing benchmarks [21:16] The 21 day Claude rule for new tools [22:16] Plan mode every time, push back on plan one, get the second plan [23:02] Why am I building it, who is it for, what am I building [23:30] The 30 / 70 split: workflow scaffolding vs real building [25:13] Why long six to fourteen hour Claude runs are usually inefficiency [27:12] Compounding 1% a day across a year [27:47] "I build the things that build things" [28:00] Architecture vs apps: filling the gaps between A and B [29:06] Left brain vs right brain task design [30:01] Why throwing 80/20 at a sales drop diagnosis fails [31:33] The PPC Ninja 5 Whys skill: deterministic plus non deterministic in one flow [34:32] Claude.md, Gemini.md, skills.yaml and the agents.md standard [40:53] Beginners: let Claude write the skill from your SOP, use the interview pattern [42:39] Skill cascading: URL to research to article to LinkedIn post to tweets to slides [44:42] Mixing deterministic and non deterministic inside a single skill [45:39] Wrap up, signal to noise, who is it for Key Takeaways Pick a platform and stop chasing models. A new model ships every week. Time spent benchmarking is time not building. Double down on Claude (or whichever you chose), use the 21 day rule, and let the ecosystem catch up to the shiny thing in your feed. CLI for heavy work, MCP for soft touch. MCP loads tools and skills into context and burns tokens. CLI uses programs already on your machine. For data heavy jobs (BigQuery, AWS, WordPress at scale), CLI wins. For light cross app workflows, MCP is fine. Build repeatables, not one offs. Subsidised tokens will not last. The 100planreportedlycostsAnthropic100planreportedlycostsAnthropic5,000 to serve. Spend the window building scaffolding that compounds, not 14 hour vibe coding runs. Plan mode every time, then push back. Claude over engineers by default. Generate the plan, then say "you have over engineered this, although I want it elegant, go back and review." Plan two is the one you start from. 30% on workflow, 70% on building. Each new dependency, MCP, skill or repo you add to your workflow compounds across every future project. Stop building only the apps. Build the things that build the apps. Left brain in scripts, right brain in the model. Counting, SQL, deterministic logic belongs in Python the moment you can offload it. Save the model for hypotheses, judgment and creativity. The PPC Ninja 5 Whys skill mixes both inside one flow. Skills are micro pieces, not magic. Take an SOP, ask Claude to interview you with decision panels, and let it write the skill. Then cascade skills together: URL to research to long form article to LinkedIn post to tweets to slide deck. Notable Quotes "Instead of doing one offs, it is time to build repeatables. The more people can learn that skill now, the better it will be, because a year from now you may not have access to the same tokens." Ritu Java "If you see something and it looks sexy and it has sex and sizzle and your dopamine is screaming to go after it, wait 21 days. Either Claude will have it, or someone will have a repo, and you can combine it." Danny McMillan "Always use plan mode. Never accept plan number one. Tell Claude: you have over engineered this, although I want it elegant, go back and review. Then start from plan two." Danny McMillan "I build the things that build things. I build the scaffolding the team needs so they can build on top of it." Danny McMillan "Spend 30% of your time on your workflow and 70% building. The 30% compounds across every project." Danny McMillan "If we just hand six months of ad, organic, ranking and SQP data to Claude with no structure, it is going to mess up. It will give you an 80/20 you are not satisfied with, because it is not equipped to handle that volume without scaffolding." Ritu Java "WordPress is horrible to work with through MCP. It falls over all the time. CLI can be amazing for certain things." Danny McMillan Resources Mentioned PPC Ninja : Ritu's Amazon PPC software and agency, base for the BigQuery + CLI stack discussed Claude Code : Anthropic's CLI for Claude, the primary surface used in the episode Anthropic Claude : Claude 4.7 referenced as the current model OpenAI Codex : Codex 5.5 mentioned as the rival shipping fast Google Gemini CLI : Referenced as a sibling agent surface (Gemini.md) Google BigQuery : PPC Ninja's central data warehouse Google Cloud CLI (gcloud) : The CLI Claude uses to talk to BigQuery Amazon Advertising MCP : Amazon's official MCP server for ads data, referenced as the MCP comparison point AWS CLI : Used by Ritu to publish HTML blog posts to ppcninja.com from a Claude chat Netlify : Hosting layer for PPC Ninja's previous era of UI based apps WordPress and WooCommerce : Backbone of Danny's event-ops CLI FooEvents : Ticketing plugin that lives behind WooCommerce in the event-ops flow Stripe : Source of the card fee variation Danny reconciles via CLI ExtractFlow / CloudExtract : Danny's four tier extraction cascade (HTTP, headless, stealth, agentic). Open repo Playwright : The default browser automation tier inside ExtractFlow Agents.md : Emerging AI agnostic instruction file standard alongside Claude.md and Gemini.md Sequential Thinking MCP : The MCP Danny invokes when asking Claude to step through analysis Hosts Danny McMillan : Host of Seller Sessions, founder of DataBrill, building AI native tooling and CLI based workflows for Amazon sellers. Website: https://sellersessions.com LinkedIn: https://www.linkedin.com/in/dannymcmillan Ritu Java : CEO and co founder of PPC Ninja, Amazon PPC software and agency. Specialises in automation, BigQuery pipelines and agentic workflow design. LinkedIn: https://ca.linkedin.com/in/ritujava Website: https://www.ppcninja.com What's Next Next week: Ritu and Danny pick up routines and the new Claude scheduler. In 8 days: Seller Sessions Live 2026 in London on 9 May. Last week to lock in any final discounts. About Seller Sessions Seller Sessions is the leading podcast for serious Amazon sellers, hosted by Danny McMillan since 2017. Go With The Flow is the weekly automation strand where Danny and Ritu Java work through agentic flows, MCPs, CLIs and skills, in real time, on the same stack their teams ship every week. Episode published: 1 May 2026 Series: Go With The Flow (Week 4 of the month) Keywords: claude skills, claude code, cli vs mcp, mcp model context protocol, claude 4.7, codex 5.5, amazon ppc automation, bigquery cli, agentic workflows, plan mode, token optimisation, claude.md, agents.md, ppc ninja, ritu java, seller sessions podcast, go with the flow

This show has been flagged as Clean by the host. This show is about developing features for a web application. The technology used is ASP.Net WebForms , the programming language is Visual Basic .Net along with HTML and CSS and the development environment is Windows 11 running under a virtual machine in Linux, with Visual Studio and SQL Server as the database. Other tools used are Git , Github , Joplin and Dropbox , Google Gemini and a tool called Beyond Compare . ResourceRowControl.ascx.vb Public WriteOnly Property ResourceObject As Resource Set(obj As Resource) If obj IsNot Nothing Then HiddenResourceID.Value = CStr(obj.ResourceID) HiddenResourceTypeID.Value = CStr(obj.ResourceTypeID) Resource.Text = obj.ResourceName Type.Text = obj.ResourceTypeName Available.Checked = obj.ResourceAvailable End If End Set End Property Private Sub Available_CheckedChanged(sender As Object, e As EventArgs) Handles Available.CheckedChanged Dim objResource As New Resource With objResource .ResourceID = ResourceID .ResourceName = Resource.Text .ResourceTypeID = ResourceTypeID .ResourceAvailable = Available.Checked End With objResource.Add() End Sub ResourceRowControl.ascx Provide feedback on this episode.

Neste episódio comentamos sobre os desafios e as soluções técnicas para a aferição de idade na internet, um tema que ganhou forte destaque com as novas regras do ECA Digital. Você irá descobrir como funcionam os protocolos de conhecimento zero, também conhecidos como Zero-Knowledge Protocol ou ZKP, e de que forma eles permitem comprovar a maioridade de um usuário sem expor dados pessoais sensíveis. Você entenderá a diferença entre ferramentas invasivas, como a biometria facial, e métodos técnicos que respeitam a privacidade e a proteção de dados, utilizando criptografia aplicada e padrões internacionais de segurança da informação. Além disso, você vai aprender sobre os impactos práticos da regulamentação da ANPD no controle de acesso a conteúdos restritos e como evitar o rastreamento excessivo por grandes empresas de tecnologia. O debate também aborda táticas de engenharia social, destacando uma série educativa sobre phishing baseada na psicologia da fraude, que é um conhecimento essencial para evitar golpes online e vazamento de dados. Ao longo da discussão, você verá que é possível equilibrar a proteção no ambiente digital com a garantia da intimidade, sem adotar modelos de vigilância em massa durante a autenticação de sistemas. Para não perder nenhuma discussão sobre tecnologia, direito e sociedade, assine o podcast na sua plataforma de áudio favorita e siga nossos perfis no YouTube, Mastodon, Blue Sky, Instagram e TikTok. Aproveite para avaliar o programa e compartilhar o conteúdo com outras pessoas interessadas no assunto. Você também pode apoiar o projeto acessando a plataforma de financiamento coletivo indicada no áudio ou enviando suas dúvidas e sugestões diretamente para o nosso e-mail oficial. Esta descrição foi realizada a partir do áudio do podcast com o uso de IA, com revisão humana  Visite nossa campanha de financiamento coletivo e nos apoie!  Conheça o Blog da BrownPipe Consultoria e se inscreva no nosso mailing ShowNotes The Psychology of Fraud, Persuasion and Scam Techniques LEI Nº 15.211, DE 17 DE SETEMBRO DE 2025 – Dispõe sobre a proteção de crianças e adolescentes em ambientes digitais (Estatuto Digital da Criança e do Adolescente) DECRETO Nº 12.880, DE 18 DE MARÇO DE 2026 – Regulamenta a Lei nº 15.211, de 17 de setembro de 2025, que dispõe sobre a proteção de crianças e adolescentes em ambientes digitais, e institui a Política Nacional de Promoção e Proteção dos Direitos da Criança e do Adolescente no Ambiente Digital. Mecanismos confiáveis de aferição de idade – ORIENTAÇÕES PRELIMINARES Radar tecnológico – Mecanismos de aferição de idade

Claude Design launched April 17, 2026 and it's Anthropic's most designer-relevant release yet. In this episode, Patricia walks through three real experiments: a branded design system integration, an interactive infographic, and a social media carousel. She breaks down what actually works, what doesn't, and what designers need to know before they dive in.Key Learnings:Claude Design produces generic output without a design system load your brand assets firstIt's token-heavy: the Max plan is where it becomes genuinely usefulExports to Canva, PDF, PPTX, and HTML. Adobe and direct Figma integration aren't there yetStill in research preview: no audit logs, no usage tracking treat it as a sandbox, not a production pipelinePrompting is closer to writing a design brief than sending a chat messageAI for Designers: 5-week Bootcamp

Crystal sits down with SEO expert Aimee Jurenka to unpack what visibility really looks like in the age of AI search. As traditional funnels break down and LLM-driven discovery rises, Crystal shares a practical, no-fluff framework for staying competitive: Get Found. Earn Trust. Be Chosen.They explore why foundational SEO still drives the majority of traffic, how AI bots interpret your content differently than search engines, and what small business owners can do—without massive budgets—to stay visible. From semantic content and structured HTML to brand signals and “grounding queries,” this conversation bridges the gap between classic SEO and emerging AI search strategies.If you're wondering how to adapt your marketing in a world where AI summarizes the internet, this episode gives you a clear starting point.

Early bird discounts for the San Francisco World's Fair, the biggest AIE gathering of the year, end today - prices will go up by ~$500 tonight so do please lock in ASAP!From near-universal AI tool adoption inside Shopify to internal systems for ML experimentation, auto-research, customer simulation, and ultra-low-latency search, Mikhail Parakhin joins us for a deep dive into what it actually looks like when a 20-year-old, $200B software company goes all-in on AI. We cover why Shopify has become much more vocal about its internal stack, what changed after the December model-quality inflection, and why the real bottleneck in AI coding is no longer generation, but review, CI/CD, and deployment stability.We also go inside Tangle, Tangent, SimGym, which are three major AI initiatives that Shopify is doing to make experimentation reproducible, optimization automatic, customer behavior simulatable, and search and catalog intelligence faster and cheaper at scale. Along the way, Mikhail explains UCP, Liquid AI, and why token budgets are directionally right but often measured badly, why AI-written code can still increase bugs in production, what makes Shopify's customer simulation defensible, and what he learned from the Sydney era at Bing.We discuss:* Mikhail's path from running a major Microsoft business unit spanning Windows, Edge, Bing, and ads to becoming CTO of Shopify* Why Shopify is talking more publicly about AI now, and why staying at the frontier has become necessary for the company* Shopify's internal AI adoption curve, the December inflection, and why CLI-style tools are rising faster than traditional IDE-based tools* Why Jensen Huang is directionally right on token budgets, but raw token count is still the wrong way to evaluate engineering output* Why the real unlock is not more agents in parallel, but better critique loops, stronger models, and spending more on review than generation* Why AI coding can still lead to more bugs in production even if models write cleaner code on average than humans* Why Shopify built its own PR review flow, and why Mikhail thinks most off-the-shelf review tools miss the point* How PR volume, test failures, and deployment rollback are becoming the real bottlenecks in the agent era* Why Git, pull requests, and CI/CD may need a new metaphor once code is written at machine speed* What Tangle is, and how Shopify uses it to make ML and data workflows reproducible, collaborative, and production-ready from the start* Why Tangle is different from Airflow, and why content-addressed caching creates network effects across teams* What Tangent is, and how Shopify is using auto-research loops to optimize search, themes, prompt compression, storage, and more* Why Tangent is becoming a democratizing tool for PMs and domain experts, not just ML engineers* Why AutoML finally feels real in the LLM era, and where auto-research still falls short today* Why Tangle, Tangent, and SimGym become much more powerful when combined into one system* What SimGym is, why simulated customers only work if you have real historical behavior, and why Shopify's data gives it a moat* How SimGym evolved from comparing A/B variants to telling merchants what to change on a single live storefront to raise conversions* Why customer simulation is so expensive, from multimodal models to browser farms to serving and distillation costs* How Shopify models merchant and buyer trajectories, runs counterfactuals, and thinks about interventions like discounts, campaigns, and notifications* Why category-level behavior is so different across commerce, and why ideas like Chinese Restaurant Processes are showing up again in practice* Shopify's new UCP and catalog work, including runtime product search, bulk lookups, and identity linking* Why Shopify is using Liquid AI, and why Mikhail sees it as the first genuinely competitive non-transformer architecture he has used in practice* Where Liquid already works inside Shopify today, from low-latency query understanding to large-scale catalog and Sidekick Pulse workloads* Whether Liquid could become frontier-scale with enough compute, and why Shopify remains pragmatic and merit-based about model choice* Who Shopify is hiring right now across ML, data science, and distributed databases* The Sydney story at Bing, why its personality was not an accident, and what Mikhail learned from deliberately shaping AI character early onMikhail Parakhin* LinkedIn: https://www.linkedin.com/in/mikhail-parakhin/* X: https://x.com/MParakhinTimestamps00:00:00 Introduction: Mikhail Parakhin, Microsoft, and Shopify00:01:16 Why Shopify Is Talking More About AI00:02:29 Internal AI Adoption at Shopify and the December Inflection00:06:54 Token Budgets, Jensen Huang, and Why Usage Metrics Can Mislead00:10:55 Why Shopify Built Its Own AI PR Review System00:12:38 AI Coding, More Bugs, and the Real Deployment Bottleneck00:14:11 Why Git, PRs, and CI/CD May Need to Change for Agents00:18:24 Tangle: Shopify's Reproducible ML and Data Workflow Engine00:21:19 Why Tangle Is Different from Airflow00:26:14 Tangent: Auto Research for Optimization and Experimentation00:30:07 How Tangent Democratizes Experimentation Beyond ML Engineers00:33:06 The Limits of Auto Research00:36:36 Why Tangle, Tangent, and SimGym Compound Together00:37:20 SimGym: Simulating Customers with Shopify's Historical Data00:42:47 The Infra Behind SimGym00:46:00 Why SimGym Gets Better with Real Customer History00:47:30 Counterfactuals, HSTU, and Modeling Merchant Trajectories00:51:55 CRPs, Clustering, and Category-Level Customer Behavior00:53:30 UCP, Shopify Catalog, and Identity Linking00:55:07 Liquid AI: Why Shopify Uses Non-Transformer Models00:59:13 Real Shopify Use Cases for Liquid01:03:00 Can Liquid Scale into a Frontier Model?01:09:49 Hiring at Shopify: ML, Data Science, and Databases01:10:43 Sydney at Bing: Personality Shaping and AI Character01:13:32 Closing ThoughtsTranscript[00:00:00] swyx: Okay. We're here in the studio, a remote studio, with Mikhail Parakhin, CTO of Shopify. Welcome.[00:00:08] Mikhail Parakhin: Thank you. Welcome.[00:00:10] swyx: I don't even know if I should introduce you as CTO of Shopify. I feel like you have many identities. Uh, you led sort of the, the Bing ML team, I guess, uh, uh, or ads team. I, I don't know, I don't know, uh, you know, it's, uh, people va-variously refer you as like CEO or, or, uh, I don't know what that, that, that said previous role at Microsoft was.[00:00:29] Mikhail Parakhin: Uh, that was... Yeah, my previous role w- at Microsoft was the-- I actually was the CEO of one of Microsoft's business units, which included, as I, you know, as we discussed, all the things that people like to laugh about, uh, including Windows and Edge and Bing and ads and everything.[00:00:47] swyx: Yeah, yeah. What a, what a, what a wild time.You've obviously, uh, done a lot since you landed at Shopify. Uh, one of the reasons I reached out was because you started promoting more sort of internal tooling, uh, primarily Tangle, but also a lot of people have seen and adopted Tobi's QMD, uh, and obviously, I think, uh, Shopify has always been sort of leading in terms of, uh, engineering.I think more-- it's just more recent that you guys have been more vocal about your sort of AI adoption. Is that, is that true?[00:01:16] Mikhail Parakhin: Well, I think AI tools in general are fairly recent development, uh, and we've-- Shopify, you know, at this stage of its development, we're developing AI in-in-house and other, uh, building tools that use AI and, you know, interfacing with the wider AI community, uh, you know, are on the sort of the, uh, runaway trajectory.So it just did by sort of natural byproduct. We, we talk about it more also. We just, uh, just even yesterday, Andrej Karpathy was famous in tweeting about, oh, are there some, uh, ways, uh, that, that you can organize your agents to store the data and then, uh, look up the data so that you don't have to research or, or lose context every- Yestime. And a little bit tongue in cheek, I tweeted that, “Hey, we've, we've done it much earlier, and we even have different approaches, Tobi and I.” Tobi, of course, is a big fan of QMD, and I'm more of a SQL, SQLite fan. But, uh, yeah, very similar things that we've already done here. The point is, yeah, we're very dynamic, you know, explosively growing company, and we have to be at the forefront of AI adoption, obviously.[00:02:29] swyx: Yeah. Yeah. Um, you, your team kindly prepared some slides actually that we were gonna bring up on to, uh, the screen. I think I can, I can screen share, and then we can kind of go through some of the shocking stats that maybe, maybe put some numbers to what exactly is going on. So here we have, uh- An internal AI tool adoption chart.What are we looking at here? What ?[00:02:54] Mikhail Parakhin: Yeah, this is very interesting statistics. Uh, this is number of daily active workers, you know, think of, uh, DAO, basically the active users of-[00:03:05] swyx: Yeah ...[00:03:05] Mikhail Parakhin: AI tool as a percentage of all the people in the company, right? And then- Yeah ... different AI tools. And, uh, you could see two things here is that one is the green is total.Uh, green is just total. So you could see that it approaches really % by now. It's hard not to do your job now without interacting deeply, at least with one tool. You could see another interesting thing is just as many people commented in December was the phase transition when suddenly models gotten good enough that, that everything took off and started growing.Uh, it, it was many people noticed that the thing is that small improvements accumulated into this big change in Sep- December roughly timeframe.[00:03:52] swyx: Yeah.[00:03:52] Mikhail Parakhin: The other thing I would claim you could see is that, uh, CLI-based tools and tools that don't require you to look at the code becoming more popular, and you could see, yeah, various versions of, uh, Cloud Code and Codex and Pi and internal development tools taking off.Uh, exactly, yeah, uh, and blue is our River, just internal agent for coding, where tools, uh, that require IDEs such as, uh, GitHub, Copilot or Cursor, they're not exactly shrinking, but they're not growing as fast. Like, uh, red, red line is, is the IDE kind of tools. So you could see that they're, they're not experiencing as, as fast of a growth.[00:04:37] swyx: As I understand it, basically, every employee has their choice, right? Of choose whatever tool you use, and then you're just kind of doing a, a daily sur-survey or something.[00:04:47] Mikhail Parakhin: Exactly. And, uh, we- Yeah ... the, the push is to get your job done, you can use any tool, and we effectively fund unlimited tokens for everybody.Uh, we, we do, we do try to control the models that, uh, people use, but from the bottom, not from top. Like we basically say, “Hey, please don't use anything less than Opus four point six.”[00:05:09] swyx: Oh .[00:05:10] Mikhail Parakhin: Some people, some people end up using GPT five point four extra high. Some people use Opus four point six. Um, uh, you know, uh, there are some, uh, there are plus and minuses in going for full one million context window versus not.But, uh, we try to discourage people from using anything less than that.[00:05:28] swyx: Yeah, yeah. Got it, got it. Uh, I mean, uh, that's, you know... The, the next chart here, it really kind of shows the expansion and the sort of December twenty twenty-five inflection, right? That, uh, people are using a lot of tokens. I think it's also really interesting that no one was kind of abusing it in twenty twenty-five.Like it was- Had comparatively, uh, to this year, there was almost no growth. I mean, it's still like, you know, probably, probably gave fifty percent.[00:05:56] Mikhail Parakhin: Yeah. This is just a different scale. It's still exponential- Yeah, yeah ...growth at just a different- ...rate of expansion. Uh, there was inflection point, and Sean, I would claim the, the super interesting part here is that you could see that the distribution becoming more and more skewed.Yes. The top percentiles grow faster. So that means- Yeah ...the people in the top ten percentile, they, their consumption grows faster than seventy-five and so forth. So, uh, the distribution skews more and more towards the highest users, which is... I don't know what it tells me. It's like it feels not ideal, to be honest.Or maybe it's okay. We'll see.[00:06:36] swyx: Why does it feel not ideal? Is, is it because of, um, quantity over quality, or what's the concern?[00:06:42] Mikhail Parakhin: Because take it to the limit. That means, you know, if, if this rate of separation continued- Ah, yes ...a year, there will be one person consuming all the tokens. So it's just, it's kinda strange.[00:06:54] swyx: Yeah, I mean, um, uh, I, I think internal like teaching and all that, uh, will, will help sort of distribute things more widely. But in, in the early days, of course, the people who are sort of more AI-pilled will obviously find more ways to use it than the people who are less AI-pilled. Maybe let's, let's call it that.I'll just, I'll just kinda quickly, uh, pause from the, the... You know, we will go back to the rest of the slides, but I just wanna, um, review, you know, there are a lot of CTOs of, of large companies like yourself where they're all considering some kind of token budget, right? Like I think it's something, something that Jensen Huang has been talking about, where like if your 200K engineer is not using 100K of tokens every year, like they're, they're underutilizing coding agents.Of course, Jensen Huang would say that, but like it seems a very quantity over quality approach and like some, some people are basically saying like, well, is this comparable to judging engineer quality by lines of code, right? Which we also know is like kind of flawed, but better than nothing. So I, I don't know if you have like a sort of management take here on, on how to view this kind of, uh, metrics.[00:08:02] Mikhail Parakhin: Well, I mean, you're, you're baiting me. I, I like... This is my favorite topic. Uh, if you let me, I'll probably talk for two hours on just this. I have a lot of things to say. Like I do think Jensen gotten a lot of bad press saying, “Oh, of course you're, you know, this, uh, the- ...the cake seller says you don't need enough cakes.”You know? Like, of course. Uh, but, uh, I actually, uh, think that's undeserved. I think he, he's actually right. Uh, I do think- He,[00:08:33] swyx: he's directionally correct.[00:08:35] Mikhail Parakhin: Yeah. Yeah. He's directionally correct for sure. Uh-[00:08:37] swyx: Who knows what the right number is? Yeah.[00:08:39] Mikhail Parakhin: The thing that I do Uh, want to say, and this is something that we learned through trial and error and very important is like two things.One is that it's not about just consuming tokens. Uh, you can consume tokens and, and in fact, the anti-pattern is running multiple agents, too many agents in parallel that don't communicate with each other. That's almost useless, uh, compared to just fewer agents and burns tokens very efficiently. Uh, setting up the right critique loop, especially with the high quality models, where one agent does something, the other one, ideally with a different model, critiques it, uh, suggests ways to improve it, the agent redoes it with this critique and, and so it takes much longer.So people don't like it because latency goes up. You know, they, they have to wait until this debate is happening. But, uh, the quality of the code is much higher. And another thing, just since you mentioned like, look, uh, uh, yeah, the overall budget is just like, uh, lines of codes. Lines of codes are exploding for everybody right now, or partially because AI is really mover balls, but partially just because AI can write a lot more code, you know, doesn't get tired.And so you have to have to have a very strong narrow waist during PR review. Otherwise, just the number of bugs will go through the roof. It's, uh, it's this unexpected consequence of the just volume trumping everything. I would claim by now good model writes code on average with fewer bugs than, than the average human.But since they write so much more of it, like more of it will make it into production. So you have to- You still[00:10:26] swyx: have[00:10:26] Mikhail Parakhin: more bugs. Yeah. Have to have a very rigorous PR reviews, also automated of course. But, uh, yeah, that to spend a lot budget there. Like this, this for me, for me, actually, the important metric is the ratio of budget spent during code generation versus, uh, spent, uh, expensive tokens like GPT, uh, five point four Pro or, uh, uh, Deep Think from Gemini, you know, checking on PR reviews.[00:10:55] swyx: Yeah, totally. Uh, I noticed in your chart you didn't have any review tools. Do you just use like, like let's say a Claude code to review tools? Or do you have another set of review tools like the Greptiles, the Code Rabbits, uh, Devin Reviews has a review tool. I don't know if you've had those specialist review tools.[00:11:13] Mikhail Parakhin: You are a little bit jumping on my store tool right now because the graphs I was only showing public tools. Uh, uh, the-- I haven't found a good PR review tool that, that does what I think should be done. And, uh, partially my, my thinking is because it's so... It just goes against both what people feel like emotionally they prefer and, uh, some of the, uh, you know, frankly Even business models that, that the companies run.At peer review tool, uh, time, you want to run the largest models. That means, I don't know, Codex or, or, uh, Cloud Code is not gonna cut it. You need to have pro-level models if you really want to, uh, stand the tide of bots from going into production. And you need us to spend a lot of time, the models taking turns, but you don't want, like, a big swarm of, uh, of, uh, agents.So in fact, you end up in a different dual-dualistic world where you generate not that many tokens. You, in fact, generate few tokens, but it takes f-a long time because these are expensive models taking turns rather than many, many agents trying to do many things in parallel. So that's, that's why I feel like I haven't found good tools, so we are using our own for peer review for now.[00:12:33] swyx: Yeah. Yeah. I mean, uh, I think a lot of companies are building their own, uh, especially to their needs, right?[00:12:38] Mikhail Parakhin: Mm-hmm.[00:12:38] swyx: Um, I, uh, you also have a chart here going back to the slides on, uh, PR merge growth, where we're now at thirty percent, uh, month on month rather than ten percent. Uh, and also the, the estimated complexity is going up.You know, this is productivity, right? ‘Cause y- presumably there's more stuff going into the code base and more, more features getting worked on. I'm curious about the backlog, right? Like the, the, the-- I actually don't mind a pro-level model taking an hour or two hours to review my PR, because I've dealt with humans who take a week to review my PR, right?And I keep pinging them on Slack, “Hey, hey, review my PR.” So, you know, I think there's some trade-off here where, like, it still doesn't make sense.[00:13:18] Mikhail Parakhin: Exactly. That, that's exactly m-my point. Uh, that on one hand, you can tolerate longer latencies at, uh, PR. On the other hand, like right now, the real problem is not in spending time waiting for PR.It's real problem is since there's so much more code than- Yeah ... uh, probability of at least some tests failing going up, and then you, like, keep de-failing, then you have to find the offending PR, evict it, retest it without that PR, and so deployment cycle becomes much longer. Uh, so it actually, in terms of the overall time to deploy, it's total time savings if you spend more time on a longer model, like thinking for an hour, because then, then you, you don't have to spend all that time during testing and rolling, you know, rolling back the deployment.[00:14:03] swyx: Yeah, totally. That's still worth it. You know, you don't look at the individual, look at the aggregate, and look at the, the, the change in the aggregate system.[00:14:11] Mikhail Parakhin: Exactly.[00:14:11] swyx: I'm kind of curious if, like, there's this PR mentality and, like, c-- the, the, the CICD paradigm will be changed eventually. Some people are like, obviously a lot of people want new GitHub, but I even wonder if, like, Git is the problem, right?Like, is that the bottleneck? Is the concept of a PR a bottleneck? Do you guys use stack diffs? I don't know if, uh, that's a, like, a merge queue stack diff type of thing.[00:14:34] Mikhail Parakhin: We, we use, we use Stacks, we u- we use Graphite. We worked with, uh, Graphite a lot. Uh, so we use Stack, uh, PRs. I think, uh, like that's clearly the overall CICD in general, and the interaction with the code repository right now is the, clearly the sort of the, the main issue and the bottleneck for us, uh, and highest top of mind.I would say we probably need a different metaphor or different whole design of how to process it in new agentic world. I haven't seen anything dramatically better yet. I, I think everybody right now is just trying to keep their head above the water ‘cause, ‘cause there, there's so many PRs and then everybody's CICD pipelines start creaking, the, the times are increasing, the number of bugs slipping by increasing, and you have to, have to clap on down.And so we are a little bit in this situation when we need to first stabilize that story and then start thinking, hey, what, what it could be a completely different and new world, which I haven't... I know some people working on it. I haven't seen something, like anything super compelling yet, but clearly the old thing were designed for humans will need to be morphed into something new.[00:15:53] swyx: One of the thing that I, I think about is kind of like the merge conflict is basically a global mutex on the whole system, right? And in, in hu- in human organizations, we do have something like that. It's the company standup. But like, other than that, it's like it's actually fitting for us to be somewhat decentralized, somewhat plugged into one stream of information source, but somewhat lossy.Like it's okay, you know, that, that not every delivery is like atomic consistency. Like we're not dealing with a database sometimes.[00:16:27] Mikhail Parakhin: This is a very good point, uh, because since humans don't write code too fast, you know that global mutex is not too bad. Once you-[00:16:36] swyx: Yes ...[00:16:37] Mikhail Parakhin: start writing code at the speed of machine, it becomes the, you know, the bottleneck.Then what do you do? Maybe, and I can't believe I'm saying this because I, I'm long-- lifelong opponent of, uh, microservices, and I always thought that was, like, a really bad idea. And now that you're saying it, like, maybe in new guys like microservices will make a comeback, you know, because then you, you can ship things independently in tiny things and, and the managing all that complexity automatically will be much easier.I don't know. Like, we'll s-- we'll have to see.[00:17:10] swyx: Yeah. I mean, I don't know what the Microsoft or, or Shopify thing is, but I, I read this paper from Google where they have a monorepo that deploys into microservices, right? And then, uh, the other concept that I think about a lot is the Chaos Monkey concept from, from Netflix.Being able to create, like, this robust system where, um, uh, you know, you, you have the service discovery, you have the, uh, the independent, independent microservices discovery and, and, uh, you know, probably going to be a fair amount of duplication. That's how an organic system sort of scales, uh, that, that you have that...I don't know how you call it. Slack? Robustness? Depend-- uh, d-duplication. I, I, I forget the-- I, I'm-- And this-- those-- these are not exactly the terms- Hmm ... I'm looking for, but I c-can't really think of the words. Okay. I was gonna go into Tangent and Tangle. Uh, so, uh, we, we sort of discussed the overall stats that, uh, Shopify has.Uh, but, you know, I, I think some, some pretty cool stuff that you guys are working on is your ML experimentation, uh, and your, your sort of auto tr-research training pipeline. Presumably you're much closer to this one because it's, it's a sort of personal hobby of yours. How, how would you explain them in, together?I thought we have a slide that, like, uh, has the s- the system diagram.[00:18:24] Mikhail Parakhin: Yeah. Tangle first and then Tangent as a-[00:18:27] swyx: Yeah ...[00:18:28] Mikhail Parakhin: as a thing on top of Tangle. And, uh, Tangle is the third generation, I claim, of, uh, systems of, uh, running any data processing, but a bit with a skew for ML experiments, but not necessarily. Any sort of data processing tasks where you need to iterate, share, and you have scale so that you want maximum efficiency.You know how, like, normally you would work, you would-- Imagine you're a data scientist or an ML practitioner, you would get Jupiter notebooks or, or maybe you would get, uh, you know, Pyth- your Python scripts, and you would manage the data, and you produce those TSV files, and you put them in some JFS or something.Then you would notice that, oh, it has this, uh, weird missing values. You go and write another script that, uh, goes and replaces them with, uh-[00:19:20] swyx: Ah ...[00:19:21] Mikhail Parakhin: dash S. And then, then you, then you run some, some, uh, “Oh, I need to filter bots.” And so you run some light GBM model that, uh, removes the bots. And then, then you like-- And then you, you kind of like get into shape, and then you start experimenting, and you run multiple experiments, and then you're like, “Oh my God,” like, “this experiment is worse.”You undo, and you cannot get to previous result. And like, “Ah, what did I do?” Like that. Again, then, then you finally like get everything working. Then you like start throwing it over the fence to production. You, you replicate it, those things don't work, and then sometimes you like don't notice that you forgot some feature naming and the, the features don't match.But then, like imagine you, you did everything, and then six months later you're like, have to repeat it because now there's more data, or you wanted to do another pass, and you're like, “What, what did I do?” Or like, or like, “This script crashes now,” or the, “the path has changed.” And then, then you're trying to, like you spend another month just doing ar- digital archeology on your own, you know, history, right?Now multiply that by many, many teams. Now imagine you got an intern that you wanna ramp up. Now you have to show that intern, “Oh, you know, look, here's the folder, there's the scripts, you know, ask your cloud agent to do, and then, uh, to, to figure it out.” And then cloud agent does something, and then you're, “Ah, yeah, right, right, it was the wrong folder.I forgot to tell you, I actually have this other thing I forgot myself.” And, and that's, that's the, like, the daily life we all, uh, all know it, uh, if, if you're a data scientist, machine practitioner, ma- machine learning practitioner or, uh, or even like any data managing, uh, person.[00:21:00] swyx: Yeah. So I, I used to do this, uh, f- uh, on the quant finance side, uh, in, in my hedge fund.So we did this before Airflow, and then, uh, obviously Airflow came along and, uh, then more recently Dagster, uh, I would say is like, in my mind, what I would use for that shape of problem, uh, where you had to materialize assets and create a pipeline.[00:21:19] Mikhail Parakhin: And that's, that's very good segue because... So Airflow is great, but Airflow is more about you, you have something and you wanna repeatedly run it in production on schedule.It's less about you as a team developing things and being able to share, and you grabbing the standard pipeline and saying, “Hey, I wanna change this tiny little component in the huge sea of data processing, and I don't wanna-- I wanna run ten experiments on this, and I wanna do hyperparameter optimization.”All that is very hard to do with Airflow. It's very easy to do with Tango. Tango is m- more about, it's everything about group of people Running experiments, it might be agents too nowadays. Uh, running experiments cheaply, collaborating, sharing results. Uh, you don't need to understand fully. You, you grab-- you clone somebody else's experiment or somebody else's pipeline, uh, run, uh, change small piece, run it, be, like, get it to production state, and then ship in one click.So then the... You don't have to port it into any other system to, to run in production. You can just run the same experiment. It's, it's fully production ready. And, and it's, uh, it has lots of... Again, as I said, it's third generation system. The original one was, I would claim there was Ether and then, uh, at least in my career, Ether was the first, first, uh, that pioneered this type of approach.And then there was, uh, Nirvana, which, uh, uh, at Yandex, which did kind of sec-second take on this. And now this one aggregates the, the learnings from all of those and, and Airflow as well to, to get to the state where you try it, it, it feels kind of magical. Uh, ‘cause now everything is based on content, uh, hashes.So even if the version changed, but if the output didn't change, nothing is being rerun. It's very efficient. If you... Multiple people start experiment that needs the same sort of data preprocessing, it's not repeated multiple times. It's automatically done only once. If you start ten experiments that all require, you know, some, some data preparation first as the first step, and you don't have to coordinate for that.Like, you don't have to know that other people are starting it. You now, it's very easy compos-, uh, composability, any language you can u- uh, you wanna use, and it's very visual. So you can see immediately, you can edit it easily, you can assemble small things with just even mouse clicks if you want to, and, uh, share, clone.And everybody knows also it's fully kind of static in the sense that we rerun it second time, it will exactly have the same results. Like, you will never have to do digital archeology. So full versioning and everything is also there.[00:24:06] swyx: Uh, so, so people can, uh... It's open source. Go to the GitHub repo and, and, uh, check it out.Uh, and it is also a really good, uh, blog post about it. I think all these is, like, really appealing. The, the, the, the thing that I think sells me the most about it is that, um, sort of development to production transition, right? Which I think, um, a lot of people haven't really solved that, uh, strictly, right?Like, we develop really, really well in, in Python notebooks, but then, you know, that's obviously not a sort of production ready process. I think that, like, any way in which that is solved, I think is, is very appealing. Then the other thing that you mentioned, which also raised my eyebrows, was content-based caching, which you mentioned is, is, um, you know, is ve-very much, uh, um, a sort of efficiency measure about, uh, you know, just like recalculation only on, on sort of content addressing Which I think makes sense.Uh, it surprised me that the savings could be this much, but maybe I just haven't worked at your scale where there's so much duplication, uh, that people just rerun because they change a single ID upstream.[00:25:10] Mikhail Parakhin: It does, yeah. But it's not only you rerun. The, the main savings are coming from the fact that you ran it, you got your job done, and you moved on.Then- Yeah ... somebody else in some department you don't know existed runs the same task, but on a newer version.[00:25:27] swyx: Yeah.[00:25:27] Mikhail Parakhin: Like right now, you can't, in, in most of the organizations, you can't even find out about it so that you can't even measure that you're spending that time twice, right? Here- Yeah ... if everybody's on Tango, that's detected automatically and detected that the output is the same.And then for that person, all it looks like is like experiment just suddenly moved, jumped forward, right? Uh, uh- Yeah ... so that's because, because the, there's network effect of multiple people helping each other.[00:25:51] swyx: Yeah. This is one of those things where it's designed to be a platform from the beginning rather than an individual developer's tool from the beginning, right?And, and everything's gonna streams down from there. That is the sort of Tango, uh, orchestrator, and it's, it manages jobs. We've seen a few versions of this, and this is obviously, uh, uh, the sort of, uh, unique approaches that you guys have, have, uh, figured out. And then there's Tangent.[00:26:14] Mikhail Parakhin: Yeah. And Tangent is basically an automatic auto research loop that can help and kind of do your work for you.Uh- ... you know, uh, effectively, effectively, Andrej Karpathy recently popularized it with auto research. Yes. Remember he said like he was, uh, speed running this, uh... Yeah, uh, you know the story. The, here we're basically bringing the same capability into Tango so that, uh, the, uh, Tangent can analyze it. It's just an agent that can run multiple experiments, figure out what can be changed, and keep on rerunning it, keep on modifying until, uh, maximizing some goal, some loss function, whatever you need to, to achieve.And in general, I would say if you're not using auto research-like approach in whatever you do, like literally whatever you do, then you're missing out. We saw at Shopify that taking like a wildfire, anything where you can put measurements can be done dramatically better. Our-[00:27:19] swyx: Mm-hmm ...[00:27:20] Mikhail Parakhin: uh, speed of, uh, templatization HTML, uh, completely new UX tem- uh, templatization of, uh, reducing latency for liquid themes.Uh, we-- Our, uh, search, uh, recently we moved from It's hard even, uh, quote from eight hundred QPS to forty-two hundred QPS with the same quality just by pure optimizations and not a research loop that kept running and changing code in our index serve on the same number of machines, just increasing the throughput.We, we managed to improve the quality of gisting and machine learning process. Uh, you know, gisting is the prompt compression technique that[00:27:59] swyx: allows for[00:28:00] Mikhail Parakhin: lower latency and, and lower and, uh, actually higher quality slightly. So like literally whatever different walks of life, and it doesn't have to be AI related.Uh, we, we had a reduction in, uh, storage because the agents would go and find data sets that clearly are derivative, uh, and then you don't need to store things twice. You know, we, we, we found somewhat embarrassingly that it was one of the largest tables was hashing random IDs into another random ID, and we literally- Oofput only one. So it was translating, yeah, two random IDs hashed[00:28:36] swyx: into[00:28:37] Mikhail Parakhin: each. So, so[00:28:37] swyx: it has access to the code as well, so it can, it can check the, like what, what the hell is it doing?[00:28:42] Mikhail Parakhin: So there, there cou- it could be run in two levels. You, uh, you know, at the superficial level, it could just use ex-existing components and, uh, reshuffle them.Uh, you know, like you can grab- Yeah ... uh, XGBoost, and you can grab some, some Py- PyTorch module, and then can grab some, you know, grab another tools and, and combine them. At a deeper level, since Tangle is all sort of CLI based underneath you, every, every component is a wrapped really CLI, uh, call and a YAML file, it can analyze code and create new components and, and, uh, keep on iterating as well.So, so you can, you can both have quick modifications of existing t- uh, pipelines with the, with components that are already there pre-baked, or you can create new components, uh, and-[00:29:29] swyx: Yeah ...[00:29:29] Mikhail Parakhin: keep iterating on those. So auto research is, again, this is probably the, the thing I was excited the most in the last two months happening, and we see it taking like, like totally like a wildfire.Just, uh, everybody, every day, every... well, every day, every minute, I would, uh, have somebody Slack message saying, “Oh, look how much better I made it.” And, uh, it's all throughout the research.[00:29:53] swyx: Is this democratized in some way in, in the sense that like is it your ML, uh, engineers and researchers doing this, or is it your regular PMs and software engineers also have the ability to auto-- to use Tangent?[00:30:07] Mikhail Parakhin: This is an awesome question. Like, Tango in general and Tangent in particular are extremely democratizing. Like they- Yeah ... they are the main tools for- ‘Cause I don't[00:30:15] swyx: need the details.[00:30:16] Mikhail Parakhin: Yeah. Exactly. Initially used by ML and AI engineers, but then literally, as you said, PMs are like the highest user right now is one of PMs on our org, uh, Sartak and he was, he was number one by, by usage of, of this ‘cause they're just, uh, energetic and knowledgeable, and now it, it unlocks a lot of capability where you don't have to co-change code manually.[00:30:39] swyx: I mean, I mean, because it kind of cuts out the ML, ML engineer from the process because the, the, the PMs have the domain knowledge and the ability to think about, uh, from first principles about, okay, what, what results do I want? And they can-- they even have the access to the data that, that needs to go in.So it's like in some ways, like this is the magic black box that we've always wanted for, for training and, and for, uh, I guess, uh, uh, hill climbing, whatever.[00:31:04] Mikhail Parakhin: It's basically cloud code for your AI development- ... uh, situation, right? Like now, now you don't have to know exactly how algorithms work. You can just, uh, bring your domain knowledge and expertise and product knowledge and iterate within Tangent until you've gotten the results that you need.[00:31:21] swyx: In my previous roles, every time that someone has pitched AutoML, you know, I've always been like, “Uh, this is not, this is not gonna work. It's, you know, it's, it's always gonna be a flop.” Somehow it's working now. I mean, presumably the answer is now we have LLMs and it's good enough, right? It's, it's an emergent property that we can do auto research, but like, it doesn't feel that satisfying that how come we didn't do this before, right?Like we just did like parameter search and like, I don't know. That's maybe that's it.[00:31:48] Mikhail Parakhin: Yeah. Bayesian optimization and hyperparameter optimization was, was the one that, or facet of AutoML that was used very actively, which incidentally also built into, uh, Tango. But, you know, I know Patrice Simard very well, and, uh, he was such a, uh, such a proponent of AutoML, and he put, like literally spent careers trying to democratize it.Without LLMs, it just turned out to be very hard. Like it, you, you would have flexibility within certain narrow domain, but it was hard to wider scale, and now with LLMs suddenly it's like magic wand, and so suddenly everybody- ... is an AutoML expert.[00:32:28] swyx: Yeah, I, I think it's multiple things, right? Like I'm, I'm just gonna bring up the, the, the chart again, right?Like LLMs can do the monitoring very well. That is the very potentially unbounded, super unstructured. It can do the analysis very well, it can do the... Uh, and basically it is much more intelligence poured into every single step. Uh, there's maybe nothing structurally changed about AutoML, but this is just m-more intelligent and more unstructured.[00:32:53] Mikhail Parakhin: Exactly.[00:32:54] swyx: Any flaws that you've run into? Like everyone is like drinking the Kool-Aid, oh my God, time savings, uh, you know, performance improvements. Like what, what, uh, issues have you have, uh, come up?[00:33:06] Mikhail Parakhin: This is really cool. It's not a solution to all the world's problems for sure. The limitations are usually the ones I-- And this is where we get into a bit of a subjective territory.Uh, I can only share what I've, I've seen so far, and I'm sure the situation, uh, is changing, and, you know, maybe after I say it, like many people will reach out and say, “Hey, what about this?” And you don't know that, and then, then we'll be probably right. But what I've seen is auto research is very good at doing kind of obvious things that you don't have bandwidth to do or you didn't notice or maybe you're not aware of like the-- some standard practices.It is not good at doing something completely out of distribution, something that, you know, you have to think for, for multiple days, uh, and, and do something like none of this. So, so it's, uh, I, uh, set an experiment once, uh, on, on my sort of, uh, hobby thing, and I let it run for, uh, ended up, uh, several weeks run, uh, you know, it's like full production kind of scale, so it, you know, slow runs and, and it ex-- it performed in the end, uh, over four hundred experiments, and only one was successful.I'm like, “Okay, that's, that's good.” But-[00:34:18] swyx: But it saved time.[00:34:19] Mikhail Parakhin: Yeah, I saved time. Like it, it was the, that thing. Yeah, if I, if I were doing four hundred experiments myself, my betting average, as I said, would have been much higher, I'm sure. But also, first of all, it would take me like three years to do four hundred experiments.And, uh, I didn't have to do them. Like the machines were just, uh, the price of electricity did that. So, and I got one improvement, uh, that in, uh, my, my-- Honestly, when I was starting that experiment, my thinking was to go and show that, “Hey, Andre, maybe you just don't know how to optimize.” And I was super smart because in, in my pro-problem, it was optimized for many years, and it was like fully improved.Uh, and I didn't expect it, you know, auto research to find anything at all. Yet it did. So instead of making fun of Andre, I ended up, uh, a big, big supporter. Yeah, that's exactly the tweet. Yes.[00:35:10] swyx: You and Toby really, really go back and forth on-online a lot, which is really funny. Uh, think of it as, as an eval for the optimalness of the code it's running on.Uh, it's almost like it reminds me of like a Kolmogorov complexity thing, but, uh, I guess it's-- there's some optimal thing that you're trying to sort of reduce down to, I guess. Um, and so, so you, you, you know, you should congratulate yourself that you had, uh, you know, uh, ninety-nine percent, uh, optimality.[00:35:36] Mikhail Parakhin: Exactly, yeah. I think Andre really deserves a lot of credit for popularizing this approach. This is, uh, this is incredibly, I think, powerful and cool and You know, the, uh, even him, him just mentioning it led to a lot of gains in a lot of places in the industry, so we should be thankful.[00:35:56] swyx: Yeah. I think he also has a just...I don't know what it is. Like, um, you know, it, it is a simple self-contained project that people can take and apply to other things, which is, is, is one thing, but also just the name. Just like somehow no one, no one managed to call their thing auto research. It's just naming things is very important. I think that that is mostly, uh, our coverage of Tango and, and, uh, Tangents.I think obviously, you know, there's a lot of, uh, ML infra at, at Shopify that people can, uh, dive into. We're about to go into SimGym, but before I do that, any, any other sort of broader comments around this whole effort? Like where is it, where is it leading to?[00:36:36] Mikhail Parakhin: As a segue to SimGym, like all those things start composing strongly.And, uh, you could see a huge unlock when you can look at each one of the tools and, and you see, oh, they're extremely useful. Uh, Tango is useful by itself. Auto Research is useful by itself. SimGym is useful by itself. If you combine all three, you create like synergetic effect. I think that's why we wanted to even, uh, cover them today is because this is something that if you go back even, you know, five years ago, would've been unthinkable.Uh, replicating that, uh, would, would be either incredibly costly or impossible, right? With probably thousands of people are required.[00:37:20] swyx: Well, we have serverless human, uh, serverless intelligence, right? Like, uh, so yes, you do have thousands of hu-- of, of intelligences, not just, not humans. And that's, that's close enough, right?Even if they're not AGI, they're, they're close enough to do the, the task that you need them to do. And, and, you know, that's, there's plenty for, for a lot of routine work, knowledge work. Okay, let's get into SimGym. Um, this is one of those things I, I was surprised to see actually it's apparently your, uh, one of your most popular launches, and I think something that, uh, I think Sim AI, I think Yunjun Park, who did the Smallville thing, there's a very small cottage industry of people trying to do like the simulate customer thing.I think a lot of people maybe don't super trust this yet because they're like, well, obviously they would just do what you prompt them to do, right? But maybe just think, uh, tell us about the sort of inspiration or origin story.[00:38:10] Mikhail Parakhin: That's exactly actually the thing I wanted to cover, because if you don't have the historical data, all you can do is prompt a-agents in a vacuum, and they will do exactly what you prompt them to do.In fact, when I first proposed it, and this is a bit of, um, my brainchild initially, if I, I can boast, even Toby said like, “But wouldn't they, they just repeat what, what you tell them?” And, uh, but I'm like, “Yes, except Shopify has decades of history of how people made changes and what there is, uh, there, what it resulted in terms of sales.”So now what we can do is we can-- we have this... It's not, it's a noisy data. There's a small, usually websites, uh, you know, like things, things are never in isolation. It's almost never AB experiment. It's always AA experiment when there's has two meanings, but basically, you know, in different time you run two different things.But if you aggregate in general, uh, like everything together, and you apply, uh, denoising and collaborative filtering like approach, you can extract a very clear signal. And then you can optimize your agents. And that's why it took so long. It took almost a year of that optimization of just us sitting and fiddling, and, and we had this internal goals of correlation of hitting-- internal goal was to hit zero point seven correlation with, uh, add to cart events, for example.Like that, that if we run real AB test experiment, that it should, it should go and, and rep-uh, replicate, uh, same sort of success that, that humans had or lack thereof. And it, it took forever, and I don't think that's easily replicatable because, uh, like who else would have that data? You have to have this historic, you know, decades, uh, worth of data.And now, now the, like the other thing you need is in-infrastructure and the scale, right? Because, uh, w- again, what we found, uh, stat sig results, you need to run a lot of simulations, a lot of agents, and, and it's-- Those are expensive things. Like you're, you're making actions in the browser because you want a real friction.You want to, to be able to get the image like of what humans will see because you wanna, uh, detect effects like, “Hey, if I make my images larger, will I have more sales or l- uh, fewer sales?” And like usually people's intuition here, by the way, is that I increase my images, I will have more because they look nicer.You know, designers all look sparse and big images. Like usually your sales tank, right? But, but, uh, you know, from HTML, all the characters look the same only the, the size tag looks different, right? So it's very hard. So you have to take visual information, you have to run this in simulated browser environment on the big farm and, and of course, you have to have, uh, like very, very expensive model, good model with multi-model model.So all this it's-- is what's taken so long and, uh, to share my personal fail a little bit there, Sean, is like, you know, we always had this bias to-- for like large company bias. You know, we always, uh, whenever you-- we do, we're like, “Hey, we'll run an experiment,” right? We make, make a change, and we will run an experiment and then, uh, see, uh, see which one's better or like, “No, this is worse,” and most of them are worse, so you discard it and keep iterating, hill climbing.And we're like, “Oh, like smaller merchants, they cannot get stat sig results. They cannot really run experiments simply because, you know, in a week there would be not enough data for them.” So we thought from this perspective. What we didn't realize is that most people don't have A and B, they just have one thing, and they need suggestions of What A and B should be.So, uh, we first build this, hey, we run simulation on two separate teams and, and, uh, say, “Hey, which one is better?” We then morphed it into, and very recently just released it, when you have just your site, your theme, we run over it and we say, “Hey, here's what predicted values of, of, uh, uh, conversions are, and here's how we think you should modify it to increase your conversions.”And then circling back to what you started with, the proof is in the pudding. Like, if we are not correlating with reality, like, people will not be using it. And, uh, thankfully, we see literally every day more users than the previous day. So, so right now, uh, right now- It's working. Yeah. I'm-- Right now my problem is how to pay for it all because the so our major thing is how to optimize the LLMs, do distillation, how to run the headless browsers, uh, and handful browsers, uh, uh, cheaper so that we can accommodate the increase in traffic.[00:42:47] swyx: Yeah. I, I understand that you, uh, you published a lot of technical detail at GTC, so I was just gonna bring it up a little bit. I think s- was this in, in con-conjunction with some kind of GTC presentation? Or something like that, right?[00:42:59] Mikhail Parakhin: Well, we, yeah, we, we did it in several place, but yeah, we had the engineering- Yeahblog, uh, as well. Yeah.[00:43:05] swyx: Yeah. So you're running, uh, GPT OSS. Uh,[00:43:08] Mikhail Parakhin: the, this is an older version. You know, now we run multimodal model. But yeah- Yeah ... GPT OSS, we still run GPT OSS as well for[00:43:15] swyx: And then you have the VMs, and you also have browser-based. I really like this one where it you said, “It violates almost every assumption that standard LLM serving is designed for.”And then you had like, basically orders of magnitude differences between everything.[00:43:29] Mikhail Parakhin: Exactly. Which is, which, uh, which was, you know, a bit of a challenge to implement, like when, like even simple things. Uh, be- since it violates all the assumptions, for example, multi-instance GPUs, like MIGs don't work as well.But we needed, uh, to get MIG to work because, ‘cause otherwise it's way too expensive. And so we had to deal with the, yeah, with, uh, lots of infrastructure and, and, uh, work with, uh, uh, Fireworks and CentML, uh, you know, to help with optimizations and browser-based, as you mentioned. Yeah, like, takes a village.[00:44:04] swyx: Okay. So there's a lot of like, I guess, experimentation in the infrastructure so far, and you've published more or less what you have here. I guess I'm, I'm less familiar with CentML. I, I don't do, uh, that much work in this, this part of the stack. But why was it the sort of preferred instance platform?[00:44:22] Mikhail Parakhin: There are really three probably top companies. There used to be, uh, uh- Three top companies, uh, at least I was aware of that did, uh, LM optimization. You know, together Fireworks and Santa ML, not necessarily in that order. Santa ML recently got acquired by NVIDIA. Uh, what they did is if you have a model and you want to optimize it to a specific prof-- uh, profile of usage, uh, they would go and do it.And, uh, we work with, with those companies, uh, this was work particularly in with Santa ML and NVIDIA to get them the best possible results out of it. And, and sometimes you, you have to retune depending on, like sometimes you want the maximum throughput, sometimes you want minimal latency, sometimes you want like the cheapest, right?And, yeah, or some combination. And so yeah, these are people who would come and help you.[00:45:14] swyx: I see. I see. Yeah, yeah. I'm familiar with these people for the LLM, you know, autoregressive stack. But the other interesting category of these optimizers is also the diffusion people, whereas like Fel and, you know, uh, Pruna recently has come up a lot as well, which I think is like really underappreciated, uh, at least by myself, because I, I thought, oh, all the workload would be LLMs, but actually there's a lot of diffusion as well.[00:45:38] Mikhail Parakhin: Exactly.[00:45:38] swyx: There's a lot here, so I, I, I... it's, it's, uh, it's, it's, it's hard to cover. But I, I do think like people underappreciate the importance of customer simulation, basically. I think this is something that I'm candidly still getting to terms with. Uh, you know, uh, you also-- your team also like prepared this, like, really nice diagram.Uh, I, I assume this is AI generated.[00:46:00] Mikhail Parakhin: Yeah, it looks-[00:46:01] swyx: Maybe it's not.[00:46:01] Mikhail Parakhin: Yeah, it looks, uh, Gemini-ish. Yeah, but, uh, uh, honestly, I, I don't know where, where the hell they generated. It looks, look, uh, looks like it's, uh, Google. But the interesting part, John, that, that, uh, we haven't covered, but I, I wanted to mention is if your store had previous customers, rather than it's a new store, you're like new merchant just launching things, it helps tremendously in just correlation and forecast.Yeah, we take your previous, uh, customer's behavior, and we create agents that replicate those specific distribution of, of customers that you get, and then we a- we apply those to your changes, and then that, that raised raw, you know, the re-- uh, just correlation with the add to cart events or to-- with conversion or whatever it, it, it may be, uh, quite dramatically.So, uh, replicating humans in general seems like an interesting, cool challenge.[00:46:58] swyx: As a shareholder, I think this is the-- like if people are Shopify shareholders, they should really deeply understand this because this is basically the moat. The, the more you use Shopify, the more it will just automatically improve, right?Like you're, you're doing the job for them.[00:47:13] Mikhail Parakhin: Yeah, that's what we started with. Like, uh- ... uh, otherwise, if you're just a startup, I wouldn't do it if, uh, you know, if it was my startup because Without the data, it, yeah, as, as you said, it's, it's exactly the case that, uh, whatever you say in prompt, that's, that's what the agents will be doing.[00:47:30] swyx: The statistician in me wants to like really satisfy the sort of, um, statistical intuition, I guess. Um, to me it's kind of, uh, the, the word that comes to mind is, um, ergodicity. Uh, so let's say a, a customer takes this path, customer takes this path, customer takes this path, right? Um, the... In my mind, the way I explain it is like, okay, here, here's the ninety-five percentile, here's the five percentile, and here's the median, right?Um, but to me, what SimGym is potentially doing is that it can, uh, modify... It can sort of model the sort of in-between sort of journeys as well, that, that maybe are dependent on the previous states. This may be like a very RL-type conclusion where like basically the summary statistics, if you only did naive AB testing, you only have the, the statistics at, at, at a certain point, and you only judge based on the sort of overall summary statistics.But here you can actually model trajectories. Does that make sense? Or-[00:48:31] Mikhail Parakhin: That makes total sense because like, well, that, that makes even more sense that maybe even you realize bec- because-[00:48:38] swyx: Okay. Please,[00:48:38] Mikhail Parakhin: please. Yes ... we do-- Yeah. The, so internally, uh, we have this system, we talked about it briefly once at NeurIPS.We have a huge HSTU-based system that models the whole companies, uh, and their possible paths. And like- Yeah ... what you are, what you are showing, like actually at any point of time, you can either model the user's behavior or you mo- can also think about, uh, the whole merchant as a company, as the entity that acts in the world.You can model that as well. And then you can do, can do counterfactuals. In your graph, like in your blue graph, uh, if you're... Imagine in the center there, uh, somewhere in the middle, you would have an intervention. I give that person a coupon, or I don't know, I send a personal thank you card, or give a discount in some- somewhere.And then you can, uh, then you can do forward rollouts from that counterfactual. So what would have happened with that intervention or without the intervention? And you can even ch- change where that intervention, uh, in time can happen, right? Like some- where, where in this journey. So we, we do this at the Shopify scale for our merchants, and then if we notice that something that they can be fixing, like there's a strong counterfactual, like we have Shopify policy, they basically get a notification like, “Hey, we think your...something is wrong with your-” I don't know, Canadian sales. Like, uh, it looks like it's misconfigured. Here's what you need to do. Or do you think like, uh, you have to set up this campaign with these parameters? And we do that at the buyer level to literally offer discounts or cashback or, or things to buyers.So this is-- I'm getting very excited. Like this is my sort of area of, uh, interest, I guess, and, and hobby. But being able to m-model something complex as human beings or companies and model counterfactuals on it, where you can have interventions in the future and optimize when to make intervention, what kind inter-- uh, what kind of intervention to make.It's such an unlock that previously was completely impossible. Like the-- it was, it was always dreamed of, but never... Like how would you even simulate it without LLMs or HTUs? I think very, very exciting times.[00:50:59] swyx: I just wanted to, uh, to maybe illustrate this. I, I'm not the best illustrator, but I, I am a conceptual statistics guy.And y-you know, you cannot just do this. Like this is a dimensionality AB test doesn't do, right? Like, uh, because it doesn't have the, the, the change over time, uh, stochastic nature, uh, and it doesn't have the sort of contextual like... Here's all the context to this point. Um, okay, cool. Um, that's SimGym.You're, you're gonna burn a lot of tokens on this thing. But you're, you're one of the, the only scale platforms in the world that can, uh, that can do this across a huge variety of workloads, right? I'm even curious on a sort of human, uh, research level of like, well, do, does retail behave d-differently from like clothing sales?D-does that behave differently from electronic sales? I, I don't know. I don't know what else you guys... The Kardashian shoppers, do they differ from like people who buy, uh, I don't know, cars and, uh, whatever.[00:51:55] Mikhail Parakhin: Well, very different, and different sensitivities and different modes of, uh, shopping and, and different levels of what's important.Now, to-totally, you can do aggregations at, uh, at a store level. You can do aggregations at a different, uh, category level. I don't know if, uh, you know, for our statisticians among us, I couldn't believe, but we-- recently we're looking at it, and we had to bring back, uh, CRPs, you know, Chinese restaurant process.It's a, like, way of aggregating and, like, naturally grow clustering. So across... Specifically to answer questions that, uh, like you were just posing on how, how if, if buyers behave different categories. And I'm like, “I haven't seen CRP since two thousand and one.” It's[00:52:37] swyx: so What? It's so- What is... No, I haven't, I haven't seen this.No. This is not in my training. Uh,[00:52:44] Mikhail Parakhin: but, but yeah, it, uh, uh, it actually, like the, the-- there was a very popular kind of theory, popular neurips HTML circles in early two thousands, uh, kind of nice. And now, now it has practical applications, uh- Yeah ... that we were resurrecting.[00:53:03] swyx: Yeah, amazing. Uh, I, I can see, I can see how this is like a, uh, a fun job for you where you get to apply all these things.Um, yeah, yeah, so super cool. Super cool. So, okay, so, so anyone who, who knows what CRPs are and has always wanted to use them at work, uh, they should, they should definitely join Shopify. Okay, so w-we have a lot and but I, I'm, I'm being mindful of the time. I, I do wanted to, to sort of cover some other things.Um, I-I'll give you a choice, UCP or Liquid?[00:53:30] Mikhail Parakhin: Liquid. I think, I think on UCP, you know, like UCP is very important for us and, and it just we are-- UCP, we have a structured, uh, discussions, and you can read about them, and we have, uh, blog posts, and we have a big release this week, in fact, like with our catalog.Oh,[00:53:46] swyx: okay.[00:53:46] Mikhail Parakhin: Uh, yeah,[00:53:46] swyx: but- Le-I mean, we, we can, we can discuss the, the, the release briefly because we'll release this after the-- after it's already announced so whatever. There's a catalog that you guys are doing?[00:53:55] Mikhail Parakhin: Yeah. So we are, we are- Okay ... we are bringing in capabilities of a whole, uh, Shopify catalog.Basically, you now you can search for products, you can do lookups by specific ID, you can do bulk lookups when you need to bring m-multiple products. You don't need to know in ad-in advance what you're trying to show or to sell or check out. Like, you can now, you can now have this decided at, at runtime, and this big area for investment for us for both non-personalized and personalized searches, trying to provide basically a win-window into whole universe of products that are being sold everywhere in the world.And Shopify is really not exactly, but almost like a super set of any-anything being sold. Now we are bringing it into UCP and, uh, and, uh, identity linking is another big thing for us, uh, so that you, you can use, uh, like Google or whatever, whatever identity you have, uh, they're minimizing friction.[00:54:56] swyx: Yeah. So[00:54:57] Mikhail Parakhin: yeah, big release for us.But Liquid AI of course we never talk about, and the problem might be more, more aligned with what we d-discussed previously on this chat.[00:55:07] swyx: Sure. The main thing that everyone understands about Liquid is that it is inspired by Worm, and I still don't know why. I'm curious on your explanation. I think you, you, uh, you can make things very approachable.And also I think like what is the potential of like the, the level of efficiency that you get out of Liquid?[00:55:23] Mikhail Parakhin: You- we all familiar with transformer architectures. And, uh, for the longest time, there was a competing architecture, it's called the state space models. So, so Sams, uh, you know, Chris, Chris Reyes, one of the pioneers and, and lots of startups, uh, trying to make those realities.They have, uh, significant benefits being main being, uh, being much faster and, uh, lower footprint and not quadratic in length, you know, sort of, uh, linear in, in, uh, in your context length. But with state space models- They never quite made it. Like they're used-- They have, uh, certain niches when they thrive, their hybrid architectures are useful, but they never quite made it.And liquid neural networks are, you can think of them as a next step, like, uh, sort of, uh, state-space model square. It's non-transformer architecture that's more complicated than sta-state space and really difficult to code if you-- if I'm being honest. But it's, um, very efficient. It's, uh, subline-- sub, uh, quadratic in, in length of your context.Uh, it's very compact way to represent things, and that's a liquid AI company. They... Their goal is to productize it, and very often you have this need, uh, when you need to have long context and small model, and you want to have low latency. Like in general, it's basically on par with transformers, and if you do hybrids with transformers, it's, it's even better.That's why we at Shopify, when we tried multiple and we constantly try multiple models, multiple companies, we found that for small, particularly with low latency applications, when you have low latency and/or if you need longer context lengths, liquid was the best. And so we still use the whole zoo and always like obviously test and use everything, uh, every open source model and, you know, it feels l

What if you could parse your Altium project files from the command line, generate a full BOM in seconds, extract net lists as AI-readable JSON, and spin up a 3D HTML viewer with zero dependencies — all without ever opening Altium? In this episode of the OnTrack Podcast, host Zach Peterson sits down with Eli Hughes, principal at Wavenumber LLC, to dig into a suite of open-source tools he's built around Altium file formats. Eli walks through the Altium Cruncher toolset, including Mega Maid (a vacuum-cleaner-style data extractor), a 3D PCB visualizer, and a schematic viewer with animated net tracing — all self-contained HTML files requiring no install or cloud connection.   The conversation goes far beyond visualizers. Eli reveals how he feeds parsed net lists directly into Claude and Codex for AI-assisted design reviews, power tree analysis, and even automatic Zephyr device tree generation — completing in minutes what used to take a full day. He also lays out his vision for a next-generation PDM system: an AI-queryable knowledge store that ingests decades of schematic history, EVK reference designs from TI, Renesas, NXP, and more, and supply chain data — so engineers can stop reinventing the wheel and start building on proven, procurable circuits. If you care about PCB workflow automation, AI-assisted hardware development, or the future of design reuse, this episode is essential viewing.  

Wes and Scott talk about the latest CSS and browser features, including the Grid Lines API for masonry layouts, HTML in Canvas, name-only container queries, CSS random, search-text styling, and more. Show Notes 00:00 Welcome to Syntax! 00:57 Grid Lines API for masonry-style layouts Introducing CSS Grid Lanes CSS Grid Lanes browser support 03:25 HTML in canvas and next-gen UI effects @jaffathecake @mattrothenberg 11:30 Name-only container queries for scoped styles Name-Only Containers: The Scoping We Needed 14:37 Brought to you by Sentry.io 15:34 Safari removes haptic feedback workaround 17:38 CSS random for dynamic values Rolling the Dice with CSS random() 18:49 Styling find-in-page with ::search-text 21:44 Sticky positioning now works in both axes @una 22:43 Multi-column CSS finally gets usable fixes Looking at New CSS Multi-Column Layout Wrapping Features 24:41 Border shape improvements and new design options @una MadCSS.com 27:09 Why MDN demos need to be better 28:24 Element-scoped view transitions for cleaner animations @bram.us Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Alex and Chris talk about how the 2.0 Editor supports packages from npm. The trick is both simple and complex. The idea is simple. We detect the packages you want to use, list them in an (editable) package.json file, then turn that into a in your HTML files that import those packages from esm.sh. Complex in that, well, all those steps are fairly difficult to get right, handle all edge cases, and do extremely quickly. All of which the CodePen Compiler does. Time Jumps

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