Podcasts about sdks

Discover how Lenovo Vantage can help bring those devices up to date, why older iPhones still excel for OCR and apps like Seeing AI, and how AI-powered smart glasses are transforming independence for blind and visually impaired people. Thanks to Turtleback Low Vision for sponsoring this episode of Double Tap. As a thank you to the Double Tap community, Turtleback is offering 12% off your entire order with promo code DT12. Visit https://www.turtlebacklv.com to shop the full lineup!Steven Scott and Shaun Preece start with their usual coffee-fuelled chat before diving into tech insights for blind users. They share a hands-on exploration of Lenovo Vantage's new web-based interface, discussing its accessibility quirks and driver update benefits. The conversation shifts to smartphone longevity, where listener Callie explains why her iPhone 12 Pro continues to deliver flawless OCR and Seeing AI performance five years after launch—highlighting that camera upgrades aren't always essential. Allison from Ohio joins to share her excitement about Meta smart glasses and their upcoming SDK, reflecting on the transformative potential of AI for photo and video descriptions. Jane contributes a heartfelt story about raising a child as a blind parent, addressing public misconceptions and celebrating her daughter's advocacy and success. The episode wraps with discussions on medical treatment experiences for blindness, emotional resilience, cloud storage reliability, and the importance of local backups. Call to ActionLike what you hear? Subscribe for weekly conversations on accessible tech and AI for blind and low-vision users. Share your feedback at feedback@doubletaponair.com or send an audio message on WhatsApp: +1 613-481-0144 Find Double Tap online: YouTube, Double Tap Website---Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedin Subscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheart About Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited. "Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Curious about OAuth, MCP servers, and building cool ChatGPT apps? Hear from Max of Stytch as we dive deep, break down the tech, and build a Tamagotchi together! Drop your thoughts and share if you enjoyed it.https://codingcat.dev/podcast/how-oauth-mcp-and-the-openai-apps-sdk-power-the-next-generation-of-interactive-ai-experiences00:00 Meet Stytch & Max01:20 Consumer Identity07:04 Deep Dive OAuth09:37 MCP Explained17:59 Security Risks19:59 Next-Gen Apps24:37 Building Chatagotchi34:09 MCP Code Walkthrough51:52 Future Predictions53:02 Closing Thoughts

This week, our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Dave Bittner⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Joe Carrigan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Maria Varmazis⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (also host of the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠T-Minus⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Space Daily show) are sharing the latest in social engineering scams, phishing schemes, and criminal exploits that are making headlines. We start with some follow up on China sentencing five members of a violent Kokang-based gang to death for running brutal scam compounds in Myanmar. And in related news, China has also extradited alleged scam kingpin She Zhijiang, a major figure behind one of Southeast Asia's largest fraud hubs, as Beijing intensifies its crackdown on global cyber-fraud networks. Listener Jon reports a new twist on sextortion, where scammers used an unsolicited FaceTime call to capture an image, generate an AI-manipulated obscene photo, and then extort an employee using publicly scraped contact lists. Joe's story is on Anthropic's claim that attackers jailbroke its Claude model to carry out what it calls the first AI-orchestrated cyber-espionage campaign, a narrative now being challenged by researchers like Dan Goodin and Dan Tentler, who argue the attack was far less “autonomous” than advertised and comparable to long-standing hacking tools rather than a breakthrough in offensive AI. Dave's story is on a new phishing scam where attackers use the contact info displayed on a lost iPhone's lock screen to send fake “Find My” texts claiming the device was found, luring victims to a spoofed Apple login page to steal their Apple ID and bypass Activation Lock. Maria has the story on Zimperium's Mobile Shopping Report, which shows that during the holiday season mobile threats surge across mishing, fake retail and payment apps, and app-level vulnerabilities—making this the peak time for scammers to exploit shoppers with spoofed texts, malicious apps, and insecure SDKs hidden inside legitimate shopping tools. Our catch of the day comes from the phishing subreddit as someone is impersonating a woman who is sick with cancer asking for the victim to take care of their money. Resources and links to stories: ⁠⁠⁠⁠China sentences 5 to death for building, running criminal gang fraud centers in Myanmar's lawless borderlands Man Accused of Running Southeast Asia Scam Compound Is Extradited to China Disrupting the first reported AI-orchestrated cyber espionage campaign Researchers question Anthropic claim that AI-assisted attack was 90% autonomous Lost iPhone? Don't fall for phishing texts saying it was found ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Have a Catch of the Day you'd like to share? Email it to us at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hackinghumans@n2k.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Build powerful AI apps that run locally on any device—Windows, macOS, or mobile—without relying on the cloud using Foundry Local. Leverage full hardware performance, keep data private, reduce latency, and predict costs, even in offline or low-connectivity scenarios. Simplify development and deploy AI apps across diverse hardware and OS platforms with the Foundry Local SDK. Manage models locally, switch AI engines easily, and deliver consistent, multi-modal experiences, voice or text, without complex cross-platform setup. Raji Rajagopalan, Microsoft CoreAI Vice President, shares how to start quickly, test locally, and scale confidently.  ► QUICK LINKS: 00:00 - Run AI locally 01:48 - Local AI use cases  02:23 - App portability 03:18 - Run apps on any device 05:14 - Run on older devices 05:58 - Run apps on MacOS 06:18 - Local AI is Multi-modal 07:25 - How it works 08:20 - How to get it running on your device 09:26 - Start with AI Toolkit in VS Code with new SDK 10:11 - Wrap up ► Link References Check out https://aka.ms/foundrylocalSDK Build an app using code in our repo at https://aka.ms/foundrylocalsamples ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

In this solo episode, Matej walks through the exact step-by-step method he uses to launch successful Meta (Facebook) UA campaigns in 2025. From SDK setup to event engineering, targeting, budgets, creative strategy, and daily management - this is the “MVP strategy” every UA manager needs.Direct links to step-by-step guides:https://lancaric.substack.com/p/mvp-ua-template-i-want-to-launchhttps://lancaric.substack.com/p/mvp-ua-iaa-template-i-want-to-launch?triedRedirect=truehttps://lancaric.substack.com/p/creative-brief-template-7-creativeSoftlaunch E-BOOK: https://payhip.com/b/fJi9EWhat you'll learn• Minimum viable tracking setup (Facebook SDK, Firebase, MMPs)• How to build meaningful event combinations (WY S WYG)• Purchase-optimized vs. app-event optimized campaigns• How to structure T1, T2, and ROW for better learning• Targeting that still works in 2025 (broad, genre interest, lookalikes)• Budget pacing rules and when to scale• 3 starting concepts → 9 ad variations• Using AI hooks, memes, UGC & dev-cam videos• Daily operations: When you should do nothing• Moving from AEO to value optimization• Live example: Creating a full Meta campaignActionable checklistIntegrate Facebook SDK + Firebase + MMP.Build 5–10 event combinations (engagement + monetization).Start with 3 concepts → 9 variations.Use T1 (US/UK/DE/CA/AU/NZ/KR/JP) + ROW.Don't scale before day 3–5 stability.Check KPIs 2–3× per day, not hourly.Switch to value optimization once you have depth of payers.Key takeawayYour UA performance is defined by the events you send, the creatives you test early, and how fast you can validate your first 3 concepts.Get our MERCH NOW: 25gamers.com/shop---------------------------------------This is no BS gaming podcast 2.5 gamers session. Sharing actionable insights, dropping knowledge from our day-to-day User Acquisition, Game Design, and Ad monetization jobs. We are definitely not discussing the latest industry news, but having so much fun! Let's not forget this is a 4 a.m. conference discussion vibe, so let's not take it too seriously.Panelists: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jakub Remia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠r,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Felix Braberg, Matej Lancaric⁠Podcast: Join our slack channel here: https://join.slack.com/t/two-and-half-gamers/shared_invite/zt-2um8eguhf-c~H9idcxM271mnPzdWbipgChapters00:00 — Cold open & why this solo episode matters00:40 — The original problem: “Where do I start with Meta UA?”01:20 — Tracking essentials (SDKs, MMP, events you MUST send)03:00 — WYSIWYG: “What You Send Is What You Get” explained04:20 — Event combinations that actually help Facebook find payers05:40 — Purchase vs. App Event optimization: when to use each07:00 — Geo setup: US, Tier 1, ROW, and why you always need all three08:10 — Targeting in 2025: broad, interests, lookalikes (what still works)09:30 — Budgets: first 7-day rules & how not to break learning11:00 — Creative framework: 3 concepts → 9 ad variations12:30 — What concepts to start with (gameplay+finger, AI hooks, UGC/dev-cam)14:00 — Creative iterations: hooks, pacing, soundtrack, memes15:10 — Daily UA workflow: why “doing nothing” is sometimes the best move16:40 — When to switch to value optimization (signals + payer depth)18:00 — Live walkthrough: building a Meta campaign step-by-step19:20 — Final advice ---------------------------------------Matej LancaricUser Acquisition & Creatives Consultant⁠https://lancaric.me---------------------------------------Please share the podcast with your industry friends, dogs & cats. Especially cats! They love it!Hit the Subscribe button on YouTube, Spotify, and Apple!Please share feedback and comments - matej@lancaric.meIf you are interested in getting UA tips every week on Monday, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠lancaric.substack.com⁠⁠⁠⁠⁠⁠ & sign up for the Brutally Honest newsletter by Matej Lancaric

Show DescriptionWhat do Balatro streamers do when the game is over, Random in CSS is so hot right now, Dave has a better idea for charts and graphs that would change the world, Quiet UI follow up, Dave tries vibe coding a tennis app and doesn't completely John McEnroe his laptop, Chris wonders about better cursor UI on the web, and debating affordances vs conventions. Listen on WebsiteWatch on YouTubeLinks Jynxzi - Twitch BALL x PIT on Steam Could Open Graph Just Be a CSS Media Type? | Scott Jehl, Web Designer/Developer https://webawesome.com Podcast Awesome Quiet UI A Beautiful Site Eleventy is a simpler static site generator Don't use custom CSS mouse cursors – Eric Bailey Home | Rach Smith's digital garden The Two Button Problem – Frontend Masters Blog SponsorstldrawHave you ever wanted to build an app that works kinda like Miro or Figma, that has a zoomable infinite canvas, that's multiplayer, and really good, but you also want to build it in React with normal React components on the canvas? Good news! tldraw is the world's first, best, and only SDK for building infinite canvas apps in React. tldraw takes care of all the canvas complexities — things like the camera, selection logic, and undo redo — so that you can focus on building the features that matter to your users. It's easy to use with plenty of examples and starter kits, including a kit where you can use AI to create things on the canvas. Get started for free at tldraw.dev/shoptalk, or run npm create tldraw to spin up a starter kit.

In this special episode of Cloud Wars Live, Bob Evans speaks with Chad Wahlquist, Architect at Palantir, about the company's explosive Q3 growth and the accelerating adoption of its AI Platform (AIP). They explore how AIP serves as an operating system for the enterprise, enabling customers to achieve global optimization, faster ROI, and model flexibility. Wahlquist also talks about Palantir's open, interoperable architecture and its commitment to delivering value at speed, especially for customers in high-stakes, high-pressure environments.Operate Smarter, Not SlowerThe Big Themes:Speed to Value: Many companies still operate under the assumption that meaningful transformation requires multi‑year timelines (two to three years, sometimes more). Palantir is pushing the idea that you must deliver value in months, three to six months, rather than years. This shift is critical because when business markets move fast, and when competitive advantage erodes quickly, speed becomes a differentiator. If you wait for years, you may miss the window or be out‑paced.Interoperability and Ecosystem Integration: The platform isn't trying to lock you into a “box” you must keep your data in; it instead emphasizes plug‑in interoperability with systems you already have. Wahlquist mentions connectors, SDKs, APIs, and plug‑ins to partners like Snowflake, Databricks, SAP, NVIDIA. The concept: if you already have investment in some systems, don't throw them away; just connect them. This increases the speed to value and reduces friction.Ambition, Willingness to Operate in Crisis: Wahlquist points out they often engage with customers who are under pressure. These customers need value now, not two or three years out. Situations like supply chain disruption, plant outages, labor issues, etc., are real. This situational urgency forces companies to adopt architectures and partners that can deliver now. The takeaway: It's not enough to believe you'll transform in the future; transformation architecture must be built for today's fires.The Big Quote: “Our goal is really: how do we scale our customers and the outcomes they're delivering — not just the number of customers?"More from Chad and Palantir:Follow Chad on LinkedIn or get an overview of Palantir's Q3 in its letter to shareholders. Visit Cloud Wars for more.

As promised last week, today's episode provides greater context on US ePrivacy audits, CIPA/VPPA claims, and EU-US comparative law as it affects the rollout or maintenance of MarTech solutions on websites and mobile applications.References:* “The slippery slope of consent banners in preventing CIPA and VPPA claims: why effective Opt-Outs will prevail - also in the EU” (Sergio Maldonado, November 2025 - you are listening to Part I of the more comprehensive analysis)* Jennifer Oliver: privacy litigation over pixels, trackers, and cookies (Masters of Privacy, August 2025)* From wiretapping and video rentals to website pixels, SDKs, and APIs. CIPA/VPPA litigation, risk management, and practical strategies (Nov 2025 update)* Toolbox: Fast CIPA/VPPA website auditing and case law matching for legal professionals (Alpha release). This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

These palm-sized robots use ultrasound signals to navigate harsh conditions in search and rescue missions. Also, the autocomplete will help users create more effective prompts for AI apps, resulting in fewer back-and-forths. Learn more about your ad choices. Visit podcastchoices.com/adchoices

A gente sentou com um trio do Mercado Livre para abrir a caixa-preta do Fury, a plataforma que sustenta milhares de serviços e times. Falamos sobre como transformar Kubernetes em um produto de plataforma consumível, com autonomia para os times e guardrails que não viram algemas. Sim, é sobre Platform Engineering de verdade, com aprendizados que doem no bolso e no pager.Entramos em detalhes de experiência do desenvolvedor (DX), SDKs, templates e Golden Path no Backstage, além das escolhas que tornaram o Fury utilizável por centenas de times sem precisar “fazer kubectl em produção”. Também discutimos arquitetura multi-cloud, clusters por criticidade, autoscaling (Karpenter/KEDA) e como democratizar observabilidade sem expor todo mundo ao PromQL às 3 da manhã.Para fechar com chave de ouro, falamos de governança e segurança no dia a dia (DevSecOps na prática), SLIs/SLOs e o dilema entre padronização e liberdade. Tem história de guerra, roadmap, trade-offs e até as dicas de carreira dos convidados. Todos os links citados (Backstage, ArgoCD/GitOps, Karpenter, KEDA e materiais sobre Platform Engineering) estão na seção de DESTAQUES abaixo para você explorar.Links:Saiba mais sobre o Fury - https://medium.com/mercadolibre-tech/subpage/79a519305008Julia Pedroza - https://www.linkedin.com/in/julianunesp/Juliano Martins - https://www.linkedin.com/in/julianommartins/Marcelo Quadros - https://www.linkedin.com/in/quadros-marcelo/João Brito - https://www.linkedin.com/in/juniorjbn/O Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

Hey, this is Alex! We're finally so back! Tons of open source releases, OpenAI updates GPT and a few breakthroughs in audio as well, makes this a very dense week! Today on the show, we covered the newly released GPT 5.1 update, a few open source releases like Terminal Bench and Project AELLA (renamed OASSAS), and Baidu's Ernie 4.5 VL that shows impressive visual understanding! Also, chatted with Paul from 11Labs and Dima Duev from the wandb SDK team, who brought us a delicious demo of LEET, our new TUI for wandb! Tons of news coverage, let's dive in

En collaboration avec Gestion FÉRIQUE, nous présentons une édition spéciale de la série « Les femmes ont du génie », enregistrée en direct à Montréal devant public.Animée par Eva Hartling, cette table ronde réunit quatre ingénieures d'exception :Hélène Brisebois, ingénieure associée, vice-présidente et chargée de projet chez SDK, experte reconnue en ingénierie structuraleSuzanne Demeules, associée et première vice-présidente, Transport chez CIMA+Caterina Milioto, présidente et fondatrice d'Intervia, une entreprise pionnière en ingénierie de transport et gestion de la mobilitéCatherine Tremblay, vice-présidente, Agences de transport chez AtkinsRéalis, où elle dirige de grands projets d'infrastructureElles partagent leurs parcours inspirants dans un domaine encore majoritairement masculin, des chantiers de construction aux projets d'envergure qu'elles dirigent. Ensemble, elles discutent de confiance, de mentorat et de visibilité, mais aussi des obstacles systémiques qui freinent encore la progression des femmes dans les professions techniques.Une conversation franche et inspirante sur la représentation, la collaboration et l'importance d'intégrer les perspectives féminines pour bâtir un futur plus inclusif et durable — un futur véritablement conçu par et pour toutes et tous.Cet épisode fait partie de notre mini-série portant sur le parcours de femmes inspirantes qui ont du génie, et qui vous est offerte par Gestion FÉRIQUE et Services d'investissement FÉRIQUE. Gestion FÉRIQUE est un gestionnaire de fonds communs de placement qui sont offerts exclusivement aux professionnels en génie, ainsi qu'à leurs familles et leurs entreprises, par le biais de Services d'investissement FÉRIQUE. Visitez ferique.com.This episode is airing in French.Follow us on Instagram: instagram.com/thebrandisfemale

Palabras clave: Edge, PDF, SDK, Modo Ebook, iPad, Accesibilidad, Escala de grises, Modo invertido, Huawei, Monitoreo DNS, AdGuard, Consultas no deseadas ### Limitaciones en la Manipulación de PDF con Edge ### Simulación del Modo Ebook en iPad mediante Accesibilidad ### Comparativas de Pantallas y Dispositivos ### Monitoreo de Tráfico y Preocupaciones de Privacidad en Huawei

Show DescriptionSteve Ruiz talks about what tldraw is and who it's for, how they've dealt with data on all the computers, what's new in the tldraw SDK, ideas for building on top of tldraw, tldraw's business model, and what the future holds for tldraw the company. Listen on WebsiteWatch on YouTubeGuestsSteve RuizGuest's Main URL • Guest's SocialA developer, designer, and now startup founder in London. I build lots of prototypes. Sometimes those prototypes turn into products. Links tldraw • very good free whiteboard tldraw computer makereal Docs • tldraw tldraw - Visual Studio Marketplace Globs Designer ClickUp | The everything app for work Steve Ruiz steveruizok (Steve Ruiz) tldraw (@tldraw) / X

In this live recording (November 6th 2025) we have tackled website protections from pixel-related litigation or public enforcement, paying closer attention to technical measures and the bridge between legal compliance and code-based strategies.Our repeat guest is Daniel B. Rosenzweig, Founder & Principal Attorney at DBR Tech Law. He advises clients on legal and technical compliance with data privacy and AI laws, and counsels clients on industry mobile app store requirements, AdTech, and privacy-enhancing technologies.Daniel's legal practice is unique in that he develops and codes technical solutions to help serve as a bridge between legal, marketing, and technical teams, in addition to providing clients foundational legal services (e.g., conducting risk assessments, drafting disclosures, etc.). He excels at assisting organizations put the law into action by translating complex legal requirements into actionable technical implementations.Our next live recording session is scheduled for Wednesday January 14th 2026. Find more information on the Events section of the Masters of Privacy website.References:* Daniel B. Rosenzweig on LinkedIn* DBR Data Privacy Solutions* From wiretapping and video rentals to website pixels, SDKs, and APIs. CIPA/VPPA litigation, risk management, and practical strategies (Nov 2025 update, Masters of Privacy)* Daniel Rosenzweig: OK, fingerprinting (Masters of Privacy, February 2025)* Jennifer Oliver: privacy litigation over pixels, trackers, and cookies This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Ready to integrate build automation into your applications? Carl and Richard talk to Mattias Karlsson about the new Cake.SDK as an additional component of the Cake (C# Make) open source project. Mattias talks about integrating the Cake scripting experience into your .NET console applications. The conversation digs into speeding up the building of infrastructure for testing and pre-production environments so that you can get features shipped quickly!

Thomas van Bouwel is an indie XR game developer known for Cubism, one of the most successful puzzle games on Quest. In this episode, he shares the three-year journey of building Laser Dance, a rhythm stealth game that turns your living room into a laser-filled obstacle course using mixed reality. Thomas explains how rapidly evolving SDKs, scene meshing, and body tracking changed the game's design mid-development, why real room geometry creates both magic and technical chaos, and how extensive playtesting across player abilities and physical spaces shaped the final product. He also discusses accessibility settings, music design, and the realities of sustaining an indie career in XR. Listeners will learn the hidden challenges of room-scale MR development, how to design for unpredictable environments, and how shifting market demographics impact creative and business decisions in today's XR ecosystem.Subscribe to XR AI Spotlight weekly newsletter

Dans cet épisode, Arnaud et Guillaume discutent des dernières évolutions dans le monde de la programmation, notamment les nouveautés de Java 25, JUnit 6, et Jackson 3. Ils abordent également les récents développements en IA, les problèmes rencontrés dans le cloud, et l'état actuel de React et du web. Dans cette conversation, les intervenants abordent divers sujets liés à la technologie, notamment les spécifications de Wasteme, l'utilisation des UUID dans les bases de données, l'approche RAG en intelligence artificielle, les outils MCP, et la création d'images avec Nano Banana. Ils discutent également des complexités du format YAML, des récents dramas dans la communauté Ruby, de l'importance d'une bonne documentation, des politiques de retour au bureau, et des avancées de Cloud Code. Enfin, ils évoquent l'initiative de cafés IA pour démystifier l'intelligence artificielle. Enregistré le 24 octobre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-331.mp3 ou en vidéo sur YouTube. News Langages GraalVM se détache du release train de Java https://blogs.oracle.com/java/post/detaching-graalvm-from-the-java-ecosystem-train Un article de Loic Mathieu sur Java 25 et ses nouvelles fonctionalités https://www.loicmathieu.fr/wordpress/informatique/java-25-whats-new/ Sortie de Groovy 5.0 ! https://groovy-lang.org/releasenotes/groovy-5.0.html Groovy 5: Évolution des versions précédentes, nouvelles fonctionnalités et simplification du code. Compatibilité JDK étendue: Full support JDK 11-25, fonctionnalités JDK 17-25 disponibles sur les JDK plus anciens. Extension majeure des méthodes: Plus de 350 méthodes améliorées, opérations sur tableaux jusqu'à 10x plus rapides, itérateurs paresseux. Améliorations des transformations AST: Nouveau @OperatorRename, génération automatique de @NamedParam pour @MapConstructor et copyWith. REPL (groovysh) modernisé: Basé sur JLine 3, support multi-plateforme, coloration syntaxique, historique et complétion. Meilleure interopérabilité Java: Pattern Matching pour instanceof, support JEP-512 (fichiers source compacts et méthodes main d'instance). Standards web modernes: Support Jakarta EE (par défaut) et Javax EE (héritage) pour la création de contenu web. Vérification de type améliorée: Contrôle des chaînes de format plus robuste que Java. Additions au langage: Génération d'itérateurs infinis, variables d'index dans les boucles, opérateur d'implication logique ==>. Améliorations diverses: Import automatique de java.time.**, var avec multi-assignation, groupes de capture nommés pour regex (=~), méthodes utilitaires de graphiques à barres ASCII. Changements impactants: Plusieurs modifications peuvent nécessiter une adaptation du code existant (visibilité, gestion des imports, comportement de certaines méthodes). **Exigences JDK*: Construction avec JDK17+, exécution avec JDK11+. Librairies Intégration de LangChain4j dans ADK pour Java, permettant aux développeurs d'utiliser n'importe quel LLM avec leurs agents ADK https://developers.googleblog.com/en/adk-for-java-opening-up-to-third-party-language-models-via-langchain4j-integration/ ADK pour Java 0.2.0 : Nouvelle version du kit de développement d'agents de Google. Intégration LangChain4j : Ouvre ADK à des modèles de langage tiers. Plus de choix de LLM : En plus de Gemini et Claude, accès aux modèles d'OpenAI, Anthropic, Mistral, etc. Modèles locaux supportés : Utilisation possible de modèles via Ollama ou Docker Model Runner. Améliorations des outils : Création d'outils à partir d'instances d'objets, meilleur support asynchrone et contrôle des boucles d'exécution. Logique et mémoire avancées : Ajout de callbacks en chaîne et de nouvelles options pour la gestion de la mémoire et le RAG (Retrieval-Augmented Generation). Build simplifié : Introduction d'un POM parent et du Maven Wrapper pour un processus de construction cohérent. JUnit 6 est sorti https://docs.junit.org/6.0.0/release-notes/ :sparkles: Java 17 and Kotlin 2.2 baseline :sunrise_over_mountains: JSpecify nullability annotations :airplane_departure: Integrated JFR support :suspension_railway: Kotlin suspend function support :octagonal_sign: Support for cancelling test execution :broom: Removal of deprecated APIs JGraphlet, une librairie Java sans dépendances pour créer des graphes de tâches à exécuter https://shaaf.dev/post/2025-08-25-think-in-graphs-not-just-chains-jgraphlet-for-taskpipelines/ JGraphlet: Bibliothèque Java légère (zéro-dépendance) pour construire des pipelines de tâches. Principes clés: Simplicité, basée sur un modèle d'exécution de graphe. Tâches: Chaque tâche a une entrée/sortie, peut être asynchrone (Task) ou synchrone (SyncTask). Pipeline: Un TaskPipeline construit et exécute le graphe, gère les I/O. Modèle Graph-First: Le flux de travail est un Graphe Orienté Acyclique (DAG). Définition des tâches comme des nœuds, des connexions comme des arêtes. Support naturel des motifs fan-out et fan-in. API simple: addTask("id", task), connect("fromId", "toId"). Fan-in: Une tâche recevant plusieurs entrées reçoit une Map (clés = IDs des tâches parentes). Exécution: pipeline.run(input) retourne un CompletableFuture (peut être bloquant via .join() ou asynchrone). Cycle de vie: TaskPipeline est AutoCloseable, garantissant la libération des ressources (try-with-resources). Contexte: PipelineContext pour partager des données/métadonnées thread-safe entre les tâches au sein d'une exécution. Mise en cache: Option de mise en cache pour les tâches afin d'éviter les re-calculs. Au tour de Microsoft de lancer son (Microsoft) Agent Framework, qui semble être une fusion / réécriture de AutoGen et de Semnatic Kernel https://x.com/pyautogen/status/1974148055701028930 Plus de détails dans le blog post : https://devblogs.microsoft.com/foundry/introducing-microsoft-agent-framework-the-open-source-engine-for-agentic-ai-apps/ SDK & runtime open-source pour systèmes multi-agents sophistiqués. Unifie Semantic Kernel et AutoGen. Piliers : Standards ouverts (MCP, A2A, OpenAPI) et interopérabilité. Passerelle recherche-production (patterns AutoGen pour l'entreprise). Extensible, modulaire, open-source, connecteurs intégrés. Prêt pour la production (observabilité, sécurité, durabilité, "human in the loop"). Relation SK/AutoGen : S'appuie sur eux, ne les remplace pas, simplifie la migration. Intégrations futures : Alignement avec Microsoft 365 Agents SDK et Azure AI Foundry Agent Service. Sortie de Jackson 3.0 (bientôt les Jackson Five !!!) https://cowtowncoder.medium.com/jackson-3-0-0-ga-released-1f669cda529a Jackson 3.0.0 a été publié le 3 octobre 2025. Objectif : base propre pour le développement à long terme, suppression de la dette technique, architecture simplifiée, amélioration de l'ergonomie. Principaux changements : Baseline Java 17 requise (vs Java 8 pour 2.x). Group ID Maven et package Java renommés en tools.jackson pour la coexistence avec Jackson 2.x. (Exception: jackson-annotations ne change pas). Suppression de toutes les fonctionnalités @Deprecated de Jackson 2.x et renommage de plusieurs entités/méthodes clés. Modification des paramètres de configuration par défaut (ex: FAIL_ON_UNKNOWN_PROPERTIES désactivé). ObjectMapper et TokenStreamFactory sont désormais immutables, la configuration se fait via des builders. Passage à des exceptions de base non vérifiées (JacksonException) pour plus de commodité. Intégration des "modules Java 8" (pour les noms de paramètres, Optional, java.time) directement dans l'ObjectMapper par défaut. Amélioration du modèle d'arbre JsonNode (plus de configurabilité, meilleure gestion des erreurs). Testcontainers Java 2.0 est sorti https://github.com/testcontainers/testcontainers-java/releases/tag/2.0.0 Removed JUnit 4 support -> ups Grails 7.0 est sortie, avec son arrivée à la fondation Apache https://grails.apache.org/blog/2025-10-18-introducing-grails-7.html Sortie d'Apache Grails 7.0.0 annoncée le 18 octobre 2025. Grails est devenu un projet de premier niveau (TLP) de l'Apache Software Foundation (ASF), graduant d'incubation. Mise à jour des dépendances vers Groovy 4.0.28, Spring Boot 3.5.6, Jakarta EE. Tout pour bien démarrer et développer des agents IA avec ADK pour Java https://glaforge.dev/talks/2025/10/22/building-ai-agents-with-adk-for-java/ Guillaume a partagé plein de resources sur le développement d'agents IA avec ADK pour Java Un article avec tous les pointeurs Un slide deck et l'enregistrement vidéo de la présentation faite lors de Devoxx Belgique Un codelab avec des instructions pour démarrer et créer ses premiers agents Plein d'autres samples pour s'inspirer et voir les possibilités offertes par le framework Et aussi un template de projet sur GitHub, avec un build Maven et un premier agent d'exemple Cloud Internet cassé, du moins la partie hébergée par AWS #hugops https://www.theregister.com/2025/10/20/aws_outage_amazon_brain_drain_corey_quinn/ Panne majeure d'AWS (région US-EAST-1) : problème DNS affectant DynamoDB, service fondamental, causant des défaillances en cascade de nombreux services internet. Réponse lente : 75 minutes pour identifier la cause profonde; la page de statut affichait initialement "tout va bien". Cause sous-jacente principale : "fuite des cerveaux" (départ d'ingénieurs AWS seniors). Perte de connaissances institutionnelles : des décennies d'expertise critique sur les systèmes AWS et les modes de défaillance historiques parties avec ces départs. Prédictions confirmées : un ancien d'AWS avait anticipé une augmentation des pannes majeures en 2024. Preuves de la perte de talents : Plus de 27 000 licenciements chez Amazon (2022-2025). Taux élevé de "départs regrettés" (69-81%). Mécontentement lié à la politique de "Return to Office" et au manque de reconnaissance de l'expertise. Conséquences : les nouvelles équipes, plus réduites, manquent de l'expérience nécessaire pour prévenir les pannes ou réduire les temps de récupération. Perspective : Le marché pourrait pardonner cette fois, mais le problème persistera, rendant les futurs incidents plus probables. Web React a gagné "par défaut" https://www.lorenstew.art/blog/react-won-by-default/ React domine par défaut, non par mérite technique, étouffant ainsi l'innovation front-end. Choix par réflexe ("tout le monde connaît React"), freinant l'évaluation d'alternatives potentiellement supérieures. Fondations techniques de React (V-DOM, complexité des Hooks, Server Components) vues comme des contraintes actuelles. Des frameworks innovants (Svelte pour la compilation, Solid pour la réactivité fine, Qwik pour la "resumability") offrent des modèles plus performants mais sont sous-adoptés. La monoculture de React génère une dette technique (runtime, réconciliation) et centre les compétences sur le framework plutôt que sur les fondamentaux web. L'API React est complexe, augmentant la charge cognitive et les risques de bugs, contrairement aux alternatives plus simples. L'effet de réseau crée une "prison": offres d'emploi spécifiques, inertie institutionnelle, leaders choisissant l'option "sûre". Nécessité de choisir les frameworks selon les contraintes du projet et le mérite technique, non par inertie. Les arguments courants (maturité de l'écosystème, recrutement, bibliothèques, stabilité) sont remis en question; une dépendance excessive peut devenir un fardeau. La monoculture ralentit l'évolution du web et détourne les talents, nuisant à la diversité essentielle pour un écosystème sain et innovant. Promouvoir la diversité des frameworks pour un écosystème plus résilient et innovant. WebAssembly 3 est sortie https://webassembly.org/news/2025-09-17-wasm-3.0/ Data et Intelligence Artificielle UUIDv4 ou UUIDv7 pour vos clés primaires ? Ça dépend… surtout pour les bases de données super distribuées ! https://medium.com/google-cloud/understanding-uuidv7-and-its-impact-on-cloud-spanner-b8d1a776b9f7 UUIDv4 : identifiants entièrement aléatoires. Cause des problèmes de performance dans les bases de données relationnelles (ex: PostgreSQL, MySQL, SQL Server) utilisant des index B-Tree. Inserts aléatoires réduisent l'efficacité du cache, entraînent des divisions de pages et la fragmentation. UUIDv7 : nouveau standard conçu pour résoudre ces problèmes. Intègre un horodatage (48 bits) en préfixe de l'identifiant, le rendant ordonné temporellement et "k-sortable". Améliore la performance dans les bases B-Tree en favorisant les inserts séquentiels, la localité du cache et réduisant la fragmentation. Problème de UUIDv7 pour certaines bases de données distribuées et scalables horizontalement comme Spanner : La nature séquentielle d'UUIDv7 (via l'horodatage) crée des "hotspots d'écriture" (points chauds) dans Spanner. Spanner distribue les données en "splits" (partitions) basées sur les plages de clés. Les clés séquentielles concentrent les écritures sur un seul "split". Ceci empêche Spanner de distribuer la charge et de scaler les écritures, créant un goulot d'étranglement ("anti-pattern"). Quand ce n'est PAS un problème pour Spanner : Si le taux d'écriture total est inférieur à environ 3 500 écritures/seconde pour un seul "split". Le hotspot est "bénin" à cette échelle et n'entraîne pas de dégradation de performance. Solutions pour Spanner : Principe clé : S'assurer que la première partie de la clé primaire est NON séquentielle pour distribuer les écritures. UUIDv7 peut être utilisé, mais pas comme préfixe. Nouvelle conception ("greenfield") : ▪︎ Utiliser une clé primaire non-séquentielle (ex: UUIDv4 simple). Pour les requêtes basées sur le temps, créer un index secondaire sur la colonne d'horodatage, mais le SHARDER (ex: shardId) pour éviter les hotspots sur l'index lui-même. Migration (garder UUIDv7) : ▪︎ Ajouter un préfixe de sharding : Introduire une colonne `shard` calculée (ex: `MOD(ABS(FARM_FINGERPRINT(order_id_v7)), N)`) et l'utiliser comme PREMIER élément d'une clé primaire composite (`PRIMARY KEY (shard, order_id_v7)`). Réordonner les colonnes (si clé primaire composite existante) : Si la clé primaire est déjà composite (ex: (order_id_v7, tenant_id)), réordonner en (tenant_id, order_id_v7). Cela aide si tenant_id a une cardinalité élevée et distribue bien. (Un tenant_id très actif pourrait toujours nécessiter un préfixe de sharding supplémentaire). RAG en prod, comment améliorer la pertinence des résultats https://blog.abdellatif.io/production-rag-processing-5m-documents Démarrage rapide avec Langchain + Llamaindex: prototype fonctionnel, mais résultats de production jugés "subpar" par les utilisateurs. Ce qui a amélioré la performance (par ROI): Génération de requêtes: LLM crée des requêtes sémantiques et mots-clés multiples basées sur le fil de discussion pour une meilleure couverture. Reranking: La technique la plus efficace, modifie grandement le classement des fragments (chunks). Stratégie de découpage (Chunking): Nécessite beaucoup d'efforts, compréhension des données, création de fragments logiques sans coupures. Métadonnées à l'LLM: L'injection de métadonnées (titre, auteur) améliore le contexte et les réponses. Routage de requêtes: Détecte et traite les questions non-RAG (ex: résumer, qui a écrit) via API/LLM distinct. Outillage Créer un serveur MCP (mode HTTP Streamable) avec Micronaut et quelques éléments de comparaison avec Quarkus https://glaforge.dev/posts/2025/09/16/creating-a-streamable-http-mcp-server-with-micronaut/ Micronaut propose désormais un support officiel pour le protocole MCP. Exemple : un serveur MCP pour les phases lunaires (similaire à une version Quarkus pour la comparaison). Définition des outils MCP via les annotations @Tool et @ToolArg. Point fort : Micronaut gère automatiquement la validation des entrées (ex: @NotBlank, @Pattern), éliminant la gestion manuelle des erreurs. Génération automatique de schémas JSON détaillés pour les structures d'entrée/sortie grâce à @JsonSchema. Nécessite une configuration pour exposer les schémas JSON générés comme ressources statiques. Dépendances clés : micronaut-mcp-server-java-sdk et les modules json-schema. Testé avec l'inspecteur MCP et intégration avec l'outil Gemini CLI. Micronaut offre une gestion élégante des entrées/sorties structurées grâce à son support JSON Schema riche. Un agent IA créatif : comment utiliser le modèle Nano Banana pour générer et éditer des images (en Java, avec ADK) https://glaforge.dev/posts/2025/09/22/creative-ai-agents-with-adk-and-nano-banana/ Modèles de langage (LLM) deviennent multimodaux : traitent diverses entrées (texte, images, vidéo, audio). Nano Banana (gemini-2.5-flash-image-preview) : modèle Gemini, génère et édite des images, pas seulement du texte. ADK (Agent Development Kit pour Java) : pour configurer des agents IA créatifs utilisant ce type de modèle. Application : Base pour des workflows créatifs complexes (ex: agent de marketing, enchaînement d'agents pour génération d'assets). Un vieil article (6 mois) qui illustre les problèmes du format de fichier YAML https://ruudvanasseldonk.com/2023/01/11/the-yaml-document-from-hell YAML est extrêmement complexe malgré son objectif de convivialité humaine. Spécification volumineuse et versionnée (YAML 1.1, 1.2 diffèrent significativement). Comportements imprévisibles et "pièges" (footguns) courants : Nombres sexagésimaux (ex: 22:22 parsé comme 1342 en YAML 1.1). Tags (!.git) pouvant mener à des erreurs ou à l'exécution de code arbitraire. "Problème de la Norvège" : no interprété comme false en YAML 1.1. Clés non-chaînes de caractères (on peut devenir une clé booléenne True). Nombres accidentels si non-guillemets (ex: 10.23 comme flottant). La coloration syntaxique n'est pas fiable pour détecter ces subtilités. Le templating de documents YAML est une mauvaise idée, source d'erreurs et complexe à gérer. Alternatives suggérées : TOML : Similaire à YAML mais plus sûr (chaînes toujours entre guillemets), permet les commentaires. JSON avec commentaires (utilisé par VS Code), mais moins répandu. Utiliser un sous-ensemble simple de YAML (difficile à faire respecter). Générer du JSON à partir de langages de programmation plus puissants : ▪︎ Nix : Excellent pour l'abstraction et la réutilisation de configuration. Python : Facilite la création de JSON avec commentaires et logique. Gros binz dans la communauté Ruby, avec l'influence de grosses boîtes, et des pratiques un peu douteuses https://joel.drapper.me/p/rubygems-takeover/ Méthodologies Les qualités d'une bonne documentation https://leerob.com/docs Rapidité Chargement très rapide des pages (préférer statique). Optimisation des images, polices et scripts. Recherche ultra-rapide (chargement et affichage des résultats). Lisibilité Concise, éviter le jargon technique. Optimisée pour le survol (gras, italique, listes, titres, images). Expérience utilisateur simple au départ, complexité progressive. Multiples exemples de code (copier/coller). Utilité Documenter les solutions de contournement (workarounds). Faciliter le feedback des lecteurs. Vérification automatisée des liens morts. Matériel d'apprentissage avec un curriculum structuré. Guides de migration pour les changements majeurs. Compatible IA Trafic majoritairement via les crawlers IA. Préférer cURL aux "clics", les prompts aux tutoriels. Barre latérale "Demander à l'IA" référençant la documentation. Prêt pour les agents Faciliter le copier/coller de contenu en Markdown pour les chatbots. Possibilité de visualiser les pages en Markdown (ex: via l'URL). Fichier llms.txt comme répertoire de fichiers Markdown. Finition soignée Zones de clic généreuses (boutons, barres latérales). Barres latérales conservant leur position de défilement et état déplié. Bons états actifs/survol. Images OG dynamiques. Titres/sections lienables avec ancres stables. Références et liens croisés entre guides, API, exemples. Balises méta/canoniques pour un affichage propre dans les moteurs de recherche. Localisée Pas de /en par défaut dans l'URL. Routage côté serveur pour la langue. Localisation des chaînes statiques et du contenu. Responsive Excellents menus mobiles / support Safari iOS. Info-bulles sur desktop, popovers sur mobile. Accessible Lien "ignorer la navigation" vers le contenu principal. Toutes les images avec des balises alt. Respect des paramètres système de mouvement réduit. Universelle Livrer la documentation "en tant que code" (JSDoc, package). Livrer via des plateformes comme Context7, ou dans node_modules. Fichiers de règles (ex: AGENTS.md) avec le produit. Évaluations et modèles spécifiques recommandés pour le produit. Loi, société et organisation Microsoft va imposer une politique de Return To Office https://www.businessinsider.com/microsoft-execs-explain-rto-mandate-in-internal-meeting-2025-9 Microsoft impose 3 jours de présence au bureau par semaine à partir de février 2026, débutant par la région de Seattle Le CEO Satya Nadella explique que le télétravail a affaibli les liens sociaux nécessaires à l'innovation Les dirigeants citent des données internes montrant que les employés présents au bureau "prospèrent" davantage L'équipe IA de Microsoft doit être présente 4 jours par semaine, règles plus strictes pour cette division stratégique Les employés peuvent demander des exceptions jusqu'au 19 septembre 2025 pour trajets complexes ou absence d'équipe locale Amy Coleman (RH) affirme que la collaboration en personne améliore l'énergie et les résultats, surtout à l'ère de l'IA La politique s'appliquera progressivement aux 228 000 employés dans le monde après les États-Unis Les réactions sont mitigées, certains employés critiquent la perte d'autonomie et les bureaux inadéquats Microsoft rattrape ses concurrents tech qui ont déjà imposé des retours au bureau plus stricts Cette décision intervient après 15 000 licenciements en 2025, créant des tensions avec les employés Comment Claude Code est né ? (l'histoire de sa création) https://newsletter.pragmaticengineer.com/p/how-claude-code-is-built Claude Code : outil de développement "AI-first" créé par Boris Cherny, Sid Bidasaria et Cat Wu. Performance impressionnante : 500M$ de revenus annuels, utilisation multipliée par 10 en 3 mois. Adoption interne massive : Plus de 80% des ingénieurs d'Anthropic l'utilisent quotidiennement, y compris les data scientists. Augmentation de productivité : 67% d'augmentation des Pull Requests (PR) par ingénieur malgré le doublement de l'équipe. Origine : Commande CLI simple évoluant vers un outil accédant au système de fichiers, exploitant le "product overhang" du modèle Claude. Raison du lancement public : Apprendre sur la sécurité et les capacités des modèles d'IA. Pile technologique "on distribution" : TypeScript, React (avec Ink), Yoga, Bun. Choisie car le modèle Claude est déjà très performant avec ces technologies. "Claude Code écrit 90% de son propre code" : Le modèle prend en charge la majeure partie du développement. Architecture légère : Simple "shell" autour du modèle Claude, minimisant la logique métier et le code (suppression constante de code superflu). Exécution locale : Privilégiée pour sa simplicité, sans virtualisation. Sécurité : Système de permissions granulaire demandant confirmation avant chaque action potentiellement dangereuse (ex: suppression de fichiers). Développement rapide : Jusqu'à 100 releases internes/jour, 1 release externe/jour. 5 Pull Requests/ingénieur/jour. Prototypage ultra-rapide (ex: 20+ prototypes d'une fonctionnalité en quelques heures) grâce aux agents IA. Innovation UI/UX : Redéfinit l'expérience du terminal grâce à l'interaction LLM, avec des fonctionnalités comme les sous-agents, les styles de sortie configurables, et un mode "Learning". Le 1er Café IA publique a Paris https://www.linkedin.com/pulse/my-first-caf%25C3%25A9-ia-paris-room-full-curiosity-an[…]o-goncalves-r9ble/?trackingId=%2FPHKdAimR4ah6Ep0Qbg94w%3D%3D Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 30-31 octobre 2025 : Agile Tour Bordeaux 2025 - Bordeaux (France) 30-31 octobre 2025 : Agile Tour Nantais 2025 - Nantes (France) 30 octobre 2025-2 novembre 2025 : PyConFR 2025 - Lyon (France) 4-7 novembre 2025 : NewCrafts 2025 - Paris (France) 5-6 novembre 2025 : Tech Show Paris - Paris (France) 5-6 novembre 2025 : Red Hat Summit: Connect Paris 2025 - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 6 novembre 2025 : Agile Tour Aix-Marseille 2025 - Gardanne (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12-14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 13 novembre 2025 : DevFest Toulouse - Toulouse (France) 15-16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 19-21 novembre 2025 : Agile Grenoble - Grenoble (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 24 novembre 2025 : Forward Data & AI Conference - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1-2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 4-5 décembre 2025 : Agile Tour Rennes - Rennes (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9-11 décembre 2025 : APIdays Paris - Paris (France) 9-11 décembre 2025 : Green IO Paris - Paris (France) 10-11 décembre 2025 : Devops REX - Paris (France) 10-11 décembre 2025 : Open Source Experience - Paris (France) 11 décembre 2025 : Normandie.ai 2025 - Rouen (France) 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 29-31 janvier 2026 : Epitech Summit 2026 - Paris - Paris (France) 2-5 février 2026 : Epitech Summit 2026 - Moulins - Moulins (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 3-4 février 2026 : Epitech Summit 2026 - Lille - Lille (France) 3-4 février 2026 : Epitech Summit 2026 - Mulhouse - Mulhouse (France) 3-4 février 2026 : Epitech Summit 2026 - Nancy - Nancy (France) 3-4 février 2026 : Epitech Summit 2026 - Nantes - Nantes (France) 3-4 février 2026 : Epitech Summit 2026 - Marseille - Marseille (France) 3-4 février 2026 : Epitech Summit 2026 - Rennes - Rennes (France) 3-4 février 2026 : Epitech Summit 2026 - Montpellier - Montpellier (France) 3-4 février 2026 : Epitech Summit 2026 - Strasbourg - Strasbourg (France) 3-4 février 2026 : Epitech Summit 2026 - Toulouse - Toulouse (France) 4-5 février 2026 : Epitech Summit 2026 - Bordeaux - Bordeaux (France) 4-5 février 2026 : Epitech Summit 2026 - Lyon - Lyon (France) 4-6 février 2026 : Epitech Summit 2026 - Nice - Nice (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 31 mars 2026 : ParisTestConf - Paris (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 17 juin 2026 : Devoxx Poland - Krakow (Poland) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Ready to integrate build automation into your applications? Carl and Richard talk to Mattias Karlsson about the new Cake.SDK as an additional component of the Cake (C# Make) open source project. Mattias talks about integrating the Cake scripting experience into your .NET console applications. The conversation digs into speeding up the building of infrastructure for testing and pre-production environments so that you can get features shipped quickly!

In this episode I talk with Steve Ruiz about creating TLDraw, an open-source canvas SDK. We discuss the intersection of design and engineering, managing complexity through abstractions, state machines, and how multiple rewrites helped him discover the core problems. Steve shares insights on building developer tools and solving difficult UI challenges.Links:tldrawSteve Ruiz's personal websiteNonsense Monthly

En este episodio del podcast, Jhonny Ventiades y Karen Arequipa discuten las novedades del mundo de la programación y la inteligencia artificial en octubre. Hablan sobre el lanzamiento de Sora 2 de OpenAI, las tendencias en la generación de video, el SDK para ChatGPT, y los desafíos de seguridad en navegadores modernos. También reflexionan sobre la caída de AWS y la importancia de tener una infraestructura sólida y resiliente en el desarrollo de aplicaciones.Notas del Episodio:ChatGPT App SDK: https://openai.com/index/introducing-apps-in-chatgpt/TakeawaysOpenAI ha lanzado Sora 2, un modelo para generación de video.La creatividad será el límite en la generación de contenido.ChatGPT busca convertirse en una super app que integre múltiples servicios.La caída de AWS afectó a muchas aplicaciones a nivel mundial.Es crucial tener una arquitectura sólida en el desarrollo de software.La ciberseguridad debe adaptarse a los nuevos desafíos que presenta la IA.Los errores en la implementación de IA pueden ser costosos.Reiniciar un sistema a menudo soluciona problemas inesperados.Los juniors en el desarrollo deben ser protegidos de errores críticos.El tiempo es esencial para probar y validar nuevas herramientas. Chapters00:00 Introducción y novedades de octubre00:59 OpenAI y el lanzamiento de Sora 202:44 Tendencias en generación de video con IA05:44 Modelos de IA y su aplicación en el trabajo08:31 Novedades de OpenAI y el SDK de ChatGPT11:29 Navegadores y la tercera guerra de navegadores14:06 Ciberseguridad y riesgos de la IA18:03 Asistentes integrados y su futuro22:29 Reflexiones finales sobre la tecnología y la IA24:22 Evolución de los Asistentes Virtuales30:31 Impacto de la Caída de AWS40:29 Desafíos en la Integración de IA47:48 Reflexiones Finales sobre Tecnología y Futuro49:18 DV Video.mp4

From checkout to cart to the Customer Portal, this release streamlines the buyer journey and gives you more control behind the scenes. Think fewer upgrade headaches, cleaner customer touchpoints, and...

Dans cet épisode du BigData Hebdo, Vincent Heuschling et Paul Peton explorent les dernières annonces d'OpenAI, d'Anthropic et de Google concernant les agents AI et leur monétisation. Au programme les SDK, les workflows, etc...**A retenir dans cet épisode**- Les dernières annonces d'OpenAI, Anthropic, et Google.- Les agents ont de l'argent, il commencent à être monétisés.- OpenAI vise à concurrencer Google et l'App Store d'Apple. - Les SDK sont essentiels pour le développement d'agents AI. - La capacité de prise de décision des agents est cruciale pour leur efficacité. - La tarification des gros modèles AI est démesurée. - Les navigateurs AI soulèvent des questions éthiques. - La connectivité des agents est un enjeu majeur.**Le BigdataHebdo** Le BigdataHebdo est le podcast Francophone de la Data et de l'IA. Retrouvez plus de 200 épisodes https://bigdatahebdo.com Rejoignez la communauté sur le Slack https://join.slack.com/t/bigdatahebdo/shared_invite/zt-a931fdhj-8ICbl9dbsZZbTcze61rr~Q

As app marketers navigate rising costs and tightening privacy rules, one truth is becoming clear — relying solely on Meta, Google, and TikTok is no longer sustainable. Beyond those walled gardens lies a vast, often overlooked landscape — the open internet — where opportunities for user acquisition remain untapped. In this App Talks special of the Business of Apps Podcast, David Murphy sits down with Omri Argaman, Co-Founder and CMO of Zoomd, to unpack how brands can scale efficiently outside the major ad platforms. Omri shares lessons from running thousands of campaigns across more than 600 integrated channels — from SDK and OEM partnerships to mobile operators and in-game ads. You'll hear why advertisers need to rethink where their users are, how to combat fraud while operating in open markets, and what strategies help brands grow globally without overspending on the usual platforms. If your growth plan still starts and ends with Meta or Google — this episode will change how you think about your acquisition mix. Let's dive in: here's Omri Argaman, Co-Founder and CMO at Zoomd. Today's topics include: Expanding beyond walled gardens: Why advertisers should move past Meta, Google, and TikTok to access untapped audiences and reduce competition. Understanding the open internet: Overview of ad channels like SDK networks, OEMs, mobile operators, DSPs, affiliate, native, and in-game advertising. Key challenges: Need for experienced partners, patience in optimization, regional differences, and higher exposure to ad fraud. Success stories: Case studies showing 200% growth for a streaming app and 30% lower acquisition costs for an e-commerce brand. Practical advice: Start small with test budgets, focus on performance models, use anti-fraud tools, and find reliable partners for sustainable scale. Links and Resources: Omri Argaman on LinkedIn Zoomd website Business Of Apps - connecting the app industry Quotes from Omri Argaman “A lot of advertisers avoid the open internet because they don't have the knowledge or the right partner — but that doesn't mean their customers aren't there.” “Success outside the walled gardens takes patience. You need to test, measure, and adapt across regions — not just spend and hope for results.” “Don't be afraid to step beyond Meta and Google. Start small, work on performance models, and you'll find a whole new ocean of users to acquire.” Host Business Of Apps - connecting the app industry since 2012

In an era when milliseconds define customer experience, having a reliable and flexible communication platform is no longer optional - it's essential. Communications Hub positions itself as a trusted partner for businesses that rely on real-time communication. We sat down with the CTO of Communications Hub, Bohdan Bulatsan, to talk about what makes the platform unique, how it ensures uninterrupted message delivery and why integration with new providers can be done up to 75% faster than the industry standard. Communications Hub Q: Communications Hub emphasizes real-time operations with automatic cascading. Could you explain how the cascading mechanism works and how it guarantees delivery even during routing issues or provider downtime? Our cascading mechanism is designed to ensure that no message ever gets lost. When the system detects any negative signal from the current provider - such as a blocked sender name, insufficient balance or a delivery issue - it automatically switches to the next available provider in the cascade. Administrators can configure multiple cascading levels in the platform. The more levels you set, the higher your delivery reliability becomes. Each level acts as a backup route, guaranteeing continuity even during provider downtime or unexpected routing failures. All message logs are recorded and displayed in a clear, user-friendly dashboard, allowing users to track delivery paths and troubleshoot in real time. Q: One of Communications Hub's strongest advantages is how quickly new providers can be integrated. How is that achieved from a technical perspective? We've developed a universal SDK that standardizes all core functions common to most provider APIs. This means our team doesn't have to start from scratch each time a new provider joins. We've also optimized the deployment process, allowing multiple adapters to be implemented simultaneously. Before any integration goes live, our pre-testing procedure identifies potential issues early, ensuring smoother performance from day one. Altogether, these improvements have reduced our onboarding time by up to 75% so what used to take 35-45 days can now be completed in about 10 days. Q: The platform collects advanced analytics directly from all providers. How does that process work and how does it give businesses full visibility over their communication flows? Our analytics service aggregates detailed depersonalised data from every message sent through the system. It collects metrics directly from connected providers and organizes them into meaningful insights for our users. Through the dashboard, clients can monitor every campaign, view delivery reports, analyze trends and see any real-time changes reflected instantly. This level of transparency empowers businesses to make informed decisions and fine-tune their communication strategies with confidence. Q: Communications Hub focuses on maintaining high delivery quality and preventing wasted messages. What technical mechanisms make that possible? We use a multi-layer verification system to make sure messages are sent only to real, active users. The first layer validates incoming numbers to confirm they follow the correct format and can potentially exist. The second layer prevents duplicate messages from being sent. The third, an optional HLR (Home Location Register) lookup, checks whether a number is currently active on the network. The first two levels run automatically by default, while HLR verification can be enabled when needed. This combination significantly reduces wasted traffic and improves delivery efficiency across all channels. Q: What would you say is Communications Hub's main mission today? Our mission is to simplify communication management. We help businesses integrate, manage, and optimize their communication channels in one place. Whether it's SMS or flash calls, we make it easy to connect with audiences reliably and intelligently. We want our clients to think less about technical barriers and ...

In this episode, we sit down with Paul Klein IV, Founder & CEO of Browserbase, to explore how his team is redefining the foundation of AI-driven browser automation. Browserbase provides the web browser infrastructure for AI agents and apps, and its open-source SDK, Stagehand, lets developers write automations using natural language - adapting seamlessly as websites evolve.Paul shares his belief that browser automation is a critical but underinvested primitive that future AI applications will depend on for years. He traces the journey from the limitations of traditional headless browsers and brittle RPA tools to the emergence of a cleaner, more adaptable framework built for the AI era.We dive into:Stagehand's design philosophy: minimal feature bloat and strong abstractions.Developer-first community: TypeScript and Python support driven by user demand and open-source contributions prioritized through community PRs.Director, Browserbase's new layer for non-technical users: “if v0 was for building websites, Director is for building automations.”How open source investment fuels both innovation and integration, and why Browserbase believes the next billion-dollar company will be built on top of its framework.The evolving relationship between AI agents and the web, touching on Cloudflare, automation ethics, and where the line lies between automation and scraping.Paul also reflects on inspiration from figures like Jeff Lawson, the importance of great abstractions for new developers, and the “moment of magic” when AI begins to work on your behalf.

Jeremiah Lowin, founder of Prefect , returns to the show to discuss the seismic shift in the data and AI landscape since our last conversation a few years ago. He shares the wild origin story of FastMCP, a project he started to create a more "Pythonic" wrapper for Anthropic's Model Context Protocol (MCP).Jeremiah explains how this side project was incorporated into Anthropic's official SDK and then exploded to over a million downloads a day after MCP gained support from OpenAI and Google.He clarifies why this is an complementary expansion for Prefect, not a pivot , and provides a simple analogy for MCP as the "USB-C for AI agents". Most surprisingly, Jeremiah reveals that the primary adoption of MCP isn't for external products, but internally by data teams who are using it to finally fulfill the promise of the self-serve semantic layer and create a governable, "LLM-free zone" for AI tools.

Most game studios waste weeks of runway on the wrong analytics decision—here's how to avoid that mistake.Traditional analytics SDK vendors like Amplitude, Mixpanel, and Braze promise plug-and-play simplicity but deliver silent failures, contract negotiations, and escalating costs that can destroy startup velocity. In this episode, we discuss why the old analytics playbook is obsolete in 2025—and reveals the new meta that's eating market share.You'll discover:Why SDK analytics vendors fail silently (and cost you weeks of bad data)The contract negotiation trap that delays launches by 6+ weeks5 analytics infrastructure options compared (real costs, hidden tradeoffs)Why PostHog is the new standard for studios under 500K MAUHow the right stack can improve dev velocity by 30%+ and cut costs 40-50%This matters if:You're choosing analytics infrastructure for a new gameYour current solution is slowing down iteration speedYou're tired of waiting hours for batched event dataYou want warehouse-native architecture without enterprise costsBottom line: Your analytics decision could mean the difference between product-market fit and running out of runway. For small to mid-sized game studios, PostHog combines enterprise-grade power with pay-as-you-go pricing—no contracts, no traffic forecasting, no silent failures.Read the full breakdown with technical details, pricing tables, and implementation guides: https://www.gamemakers.com/p/the-new-meta-for-game-analytics-saveTimestamps (Episode Chapters):(00:00:00) The Studio-Killing Problem You're Ignoring(00:01:26) The "Silent Failure" Trap (How SDKs Hide Bugs)(00:02:41) How 15-Minute Data Delays Destroy QA Velocity(00:06:02) The Obsolete 3-Tier Analytics Model (and Why It's Broken)(00:10:38) The 6-Week Contract Negotiation Trap(00:14:16) The "Nostradamus" Forecasting Problem: Why You Always Overpay(00:16:19) Option 1: Traditional SDKs (Amplitude, Mixpanel)(00:25:32) Option 2: Firebase + BigQuery(00:28:34) Option 3: Unity Analytics(00:30:21) Option 4: The New Meta (PostHog)(00:36:14) Option 5: The Enterprise Trap (Snowflake)(00:39:01) Integrated (Braze) vs. Best-of-Breed (PostHog + CRM)(00:42:56) The Final Verdict: What to Choose By Studio Size

00:00: ☀️ Bom dia Tech!01:15:

Meta Connect had hiccups—but did it just spark the mainstream AR era? XR developer Tom Krikorian (Studio 84) joins Ely Santos to unpack first impressions of Ray-Ban Display, why the EMG wristband is the real breakthrough, and what devs need before this market explodes. We get candid about Horizon Worlds, Meta's SDK (or lack of it), and Apple's tight ecosystem + on-device AI advantage. In this episode:Hands-on with Ray-Ban Display: one-eye HUD, real-world navigation, where it shines—and where it strains. The wristband wow-factor: finger-level intent control that finally feels ready for prime time. Developer reality check: unstable stacks, shifting roadmaps, and why an SDK + clear monetization path are non-negotiable. Meta vs. Apple: open ambitions vs. end-to-end optimization (iPhone, processors, on-device AI). Who's better positioned? Early use cases that actually stick: notifications without the phone, live captions, travel translation, and accessibility. The Horizon Worlds debate: chasing Roblox—or losing the VR plot? Guest: Tom Krikorian — visionOS/XR developer, Studio 84; Host: Ely Santos — Metavertising Podcast. If you're building for XR—or betting your brand on the next wave of consumer wearables—this is your field guide to what's real, what's hype, and what's coming next.

Marty gives all the specs and new tidbits about the Vision Pro M5Overview• The Vision Pro M5 keeps the same design and $3,499 price as the original 2024 model.• Inside, Apple replaced the M2 with the M5 chip for significant performance improvements.• Battery life, comfort, and display refresh rates all see meaningful boosts.Hardware & Performance• Processor: M5 replaces M2, paired with R1 for low-latency sensor fusion.• Display: 23M-pixel dual micro-OLED panels now run up to 120 Hz.• Neural Engine: 50% faster system AI; up to 2× faster for third-party AI tasks.• Battery: Increased from ~2 hrs to ~2.5 hrs general use, ~3 hrs video.• Weight: Slightly lighter due to magnesium-lithium alloy frame.• Thermals: New heat pipe design for longer sustained performance.Comfort & Fit• Dual Knit Band combines Solo Knit and Dual Loop into one piece.• Adds fit dial and counterweight ribs for improved comfort.• Band compatible with first-generation Vision Pro.• Better balance and reduced facial pressure.Display & Visual Upgrades• EyeSight external display brighter (300 nits) and more power efficient.• Enhanced color accuracy and reduced distortion in passthrough view.• 10% more rendered pixels; improved readability for text-heavy use.Software & Developer Tools• Runs visionOS 26 with expanded Apple Intelligence features.• Upgraded Personas, widgets, and spatial photos.• Developers get new SDK tier with 120 Hz and AI co-processing APIs.• Updated SpatialSceneKit for lifelike rendering.• Over 1,000 Vision-native apps now available.Accessibility & Expansion• New Live Captioning for FaceTime and immersive videos.• 'Spatial Voice' improves lip-sync and vocal projection.• Global launch expands to Canada, UK, Japan, Germany, and Australia.Email: ThePodTalkNetwork@gmail.comWebsite: ThePodTalk.NetYouTube: YouTube.com/@VisionProFiles

From a brand new JavaScript SDK and React Starter Kit to a fully redesigned documentation hub, this release marks a huge step forward for developers building with Freemius. Let's explore...

In this episode of Generation AI, hosts Ardis Kadiu and Petar Djordjevic take you inside OpenAI's third annual Dev Day in San Francisco, breaking down the major announcements that are reshaping how we interact with AI. With ChatGPT now reaching 800 million weekly active users, OpenAI is positioning itself as the operating system of the future. Ardis and Petar, who attended the event in person, discuss three major announcement categories: Apps (native applications running directly in ChatGPT with deep integration), Agent Kit (a visual agent builder with built-in evaluation systems), and new models including GPT-5 Pro, Sora 2 video generation, and cheaper image options. They explore what these changes mean for developers, product builders, and higher education professionals, while sharing their first-hand observations from being in the room with 1,500 developers and AI industry leaders. This episode is essential listening for anyone trying to understand where AI platforms are headed and how to prepare for a future where ChatGPT becomes the hub for all your digital work.Dev Day Experience: San Francisco and the AI Ecosystem (00:00:36)First-time experience attending OpenAI Dev Day in San Francisco with 1,500 attendeesThe unique culture of San Francisco's tech scene and AI billboards everywhereMeeting AI influencers, builders from major companies like Netflix, Facebook, MicrosoftComparing Element451's AI work against world-class builders and feeling competitiveThe optimism and grind culture among new builders and startup foundersThe Three Big Announcement Categories (00:06:32)OpenAI's strategic shift: positioning ChatGPT as an operating systemThree main categories: Apps, Agents, and new ModelsChatGPT reaching 800 million weekly active users (not monthly - weekly)Processing billions of tokens daily across the platformApps in ChatGPT: The Third Try at an App Ecosystem (00:10:05)Native applications running directly in ChatGPT with deep integrationEvolution from plugins (first attempt) to custom GPTs (second attempt) to Apps SDK (third attempt)Launch partners: Canva, Booking.com, Expedia, Figma, Spotify, Khan Academy, Instacart, Uber, TripAdvisorApps can share context with ChatGPT and return custom UI componentsDemo showing Coursera courses, Canva slide creation, and Zillow apartment search all within ChatGPTApps SDK will be available to all developers by end of yearThe Distribution Flywheel and Vendor Lock-in (00:14:53)800 million users creates massive distribution leverage for app makersThe more users work inside ChatGPT, the more context gets centralizedThis strengthens personalization but also increases switching costsChatGPT becoming your memory and general assistantDiscussion of potential for ads and payment systems within ChatGPTUsers becoming more sticky to ChatGPT than to individual app websitesAgent Kit: Visual Agent Builder with Native Evals (00:18:38)Visual agent builder for orchestrating multi-agent workflowsChat Kit for embedding chat interfaces into applicationsNative evaluation system built directly into the platformLive demo: building a full agent for Dev Day conference in 8 minutes on stagePre-built guardrails for PII data and harmful contentConnections to file search, web search, and external systems via MCP protocolSimilar to tools like Zapier, Make.com, and n8n but with embeddable chat widgetsHow OpenAI Uses AI Internally (00:23:44)OpenAI shared three internal use cases at a breakout sessionGo-to-market agent: researches customers before meetings, preps demos, closes the loop after meetingsSupport agent: handles customer inquiries at scale (not outsourced, built in-house)When ChatGPT image generation launched, they got 10 million new users in a dayBuilt-in evals allow systems to improve themselves over time using thumbs up/down feedbackEvals and Prompt Optimization: The Game Changer (00:25:23)Evals explained: non-deterministic outputs require grading systemsEvolution from human graders to LLM gradersOpenAI introducing prompt optimization using the GEPA algorithm (Genetic Pareto)System uses all your data and feedback to automatically improve promptsConnection to DSPY library and the movement toward automated prompt engineeringNot locking users into OpenAI models - can use any model and send traces to the systemComparison with LangSmith and other tracing toolsNew Models: GPT-5 Pro, Sora 2, and Image Mini (00:33:20)GPT-5 Pro now available via API (12x more expensive than standard ChatGPT)Takes minimum 15 minutes per task due to deep reasoning capabilitiesSora 2 and Sora 2 Pro for video generation now in APISora app showing amazing video generation capabilitiesDemo with UK animation studio showing year-long process compressed to minutesGPT Image 1 Mini: 80% cheaper for cost-sensitive, high-frequency tasksEnables personalized images at scale for hundreds of thousands of usersTwo-tier Sora workflow: use smaller model to nail the prompt, then Pro for high fidelityReal-Time Voice Models and Device Strategy (00:40:38)GPT Real-Time Mini Voice: 70% cheaper with improved qualityDiscussion about voice quality expectations and production use casesSpeculation about OpenAI's strategy to get models small enough for on-device deploymentThe importance of voice as a natural interface for future applicationsConcerns about whether cheaper models sacrifice too much qualityCommunity Reactions and the Agent Debate (00:43:26)Mixed reactions to Agent Kit announcementsTwo camps: those excited about workflow builders vs. those disappointed it's "old paradigm"Debate about what defines an "agent" - no consensus in the industryComparison with Claude Code's different approach: treating LLM as autonomous humanDiscussion of workflow builders vs. true autonomous agentsWhat This Means for Startups and Builders (00:47:40)Advice: still build in code, don't rely entirely on Agent Kit for productionAgent Kit good for proof of concept and quick distributionWill take at least a year for App Store to catch fire with normal usersOpportunity to be early in the ChatGPT App ecosystemImportance of building expertise with OpenAI's tooling and platformThe Everything App and Multi-Platform Future (00:50:30)ChatGPT positioning as the "Everything App" and operating system of the futureGoogle announces Gemini Enterprise with similar agent builder capabilitiesQ4 2025 prediction: proliferation of agent builders across platformsElement451's approach: building agents that build agents using conversational interfaceEvolution from visual workflow canvas to AI-driven job creationProactive AI that evaluates context and takes actions without predefined stepsFinal Thoughts: The OpenAI Ecosystem (00:54:13)OpenAI as one of the most advanced AI labs with 4 million developers on platformChatGPT as dominant chat assistant with massive ecosystem impactKey takeaways from being there in person and seeing the builder communityHow these announcements will shape the future of work and higher education - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Her gün dünyada ortalama 250 milyon mobil uygulama indiriliyor.Ama araştırmalara göre bu uygulamaların %75'i ilk 3 gün içinde hiç açılmıyor.Yani insanlar indiriyor… ama kullanmıyor.Bu da markalar için hem ciddi bir bütçe kaybı hem de yanlış stratejinin açık göstergesi.Bu bölümde mobil uygulama reklamlarının perde arkasına iniyoruz.Google Ads, Meta ve TikTok gibi platformlarda uygulama indirme kampanyaları nasıl çalışır, neden bazı uygulamalar viral olurken diğerleri sessizce silinir, gerçekten işe yarayan stratejiler neler — hepsini detaylarıyla konuşuyoruz.Uygulama Reklamlarının Görünmeyen GerçekleriBirçok işletme uygulamasını tanıtmak için “App Install” kampanyaları açıyor ama asıl hatayı tam burada yapıyor.Çünkü mobil reklamcılıkta başarı sadece “indirme sayısı” değil, kullanıcının uygulamayı açma, kayıt olma ve işlem yapma oranıyla ölçülür.Eğer kullanıcı sadece indirip uygulamayı hiç açmıyorsa, o kampanya görünürde başarılı ama gerçekte zarar ettiriyor.Ben bu bölümde size kampanyaların nasıl daha akıllı çalışacağını, SDK'nin neden en kritik parça olduğunu, uygulama içi event'leri nasıl kurmanız gerektiğini ve algoritmanın gerçekten “kaliteli kullanıcı”yı nasıl öğrendiğini anlatıyorum.Ayrıca “kayıt olma”, “sepete ekleme” veya “satın alma” gibi davranış bazlı hedeflerin, indirme odaklı kampanyalardan nasıl çok daha yüksek ROI getirdiğini örneklerle açıklıyorum.App Store ve Play Store Optimizasyonu (ASO)Mobil reklamcılıkta çoğu kişi sadece reklam tarafına odaklanıyor, ancak işin %40'ı aslında mağaza sayfasında kazanılıyor.Bir kullanıcı reklamdan etkilenip uygulama sayfasına geldiğinde ilk 3 saniye içinde ikna olmalı.İşte o an, uygulamanın ekran görüntüleri, açıklama metni ve yorumları devreye giriyor.Bu bölümde App Store optimizasyonunun indirme oranlarına etkisini, doğru görsel seçiminin ve açıklama metinlerinin nasıl fark yarattığını konuşuyoruz.Küçük bir ipucu: farklı ikon ve görselleri A/B test etmek bazen maliyeti %20'ye kadar düşürebiliyor.Kampanya Stratejileri ve Hedefleme İpuçlarıEn hızlı indirme kampanyasını kurmak için önce doğru kampanya tipini seçmek gerekiyor.Google Ads tarafında “App Campaigns” üç farklı hedefleme tipi sunar: Install Volume, In-App Actions ve Value Optimization.Hangisini, ne zaman ve nasıl kullanmanız gerektiğini adım adım anlatıyorum.Ayrıca Meta Ads ve TikTok tarafında performansı artıran video formatlarını, CTA (Call to Action) tetikleyicilerini ve kullanıcı davranışına göre farklı mesaj kurgularını paylaşıyorum.Gerçek Kullanıcı Kazanmanın FormülüSadece indirme değil, kullanıcıyı elde tutmak da bir strateji işidir.Retention rate, LTV ve ROI gibi metrikler artık her kampanyanın omurgası.Bir uygulamanın başarısı ilk 7 gün değil, 30. gün aktif kullanıcı oranıyla ölçülür.Bu yüzden bu bölümde sadece indirmeyi değil, sadakat yaratmayı da konuşuyoruz.Uygulama reklamlarında yapılan en büyük 5 hatayı, doğru hedefleme stratejilerini ve veriye dayalı büyüme yaklaşımlarını örneklerle aktarıyorum.Veri, Ölçümleme ve MMP AraçlarıKampanyalarınızı yönetirken veriyi doğru analiz etmek her şeydir.Bu yüzden Firebase, AppsFlyer, Adjust veya Singular gibi ölçümleme araçlarının ne işe yaradığını ve neden zorunlu olduklarını detaylandırıyorum.Bu araçlar sayesinde hangi reklam kanalının gerçekten satış getirdiğini, hangi platformun kullanıcıyı elde tuttuğunu net biçimde görebilirsiniz.Yani “ucuz indirme” değil, değerli kullanıcı odaklı büyüme mümkün hale geliyor.Sonuç: Gerçek Başarı Ne İndirmede Ne Bütçede, DavranıştaBu bölüm, mobil uygulama sahipleri, reklam yöneticileri ve performans pazarlamacılar için tam anlamıyla bir rehber niteliğinde.Reklam bütçenizi boşa harcamadan nasıl daha fazla indirme elde edeceğinizi, kullanıcı davranışlarını analiz ederek nasıl sadakat yaratabileceğinizi öğrenmek istiyorsanız bu bölümü mutlaka dinleyin.

What happens when artificial intelligence meets the everyday heroes of local government? That's the question driving my conversation with Justin Dennis, co-founder and COO of Urban SDK, a geospatial AI company helping more than 250 North American cities make faster, safer, and smarter decisions. Justin shares how a Smart Cities Challenge from the U.S. Department of Transportation inspired him to co-found Urban SDK in 2018, and why he believes the future of public safety depends on replacing manual data collection with real-time intelligence. From traffic fatalities to hurricane recovery, he explains how the company's HALO platform gives local leaders and emergency responders the insights they need to act before crises escalate. In a single platform, they can identify dangerous road zones, predict high-risk intersections, coordinate clean-up operations, and rebuild infrastructure based on data rather than guesswork. We also explore how AI is quietly reshaping government operations, from disaster management to traffic enforcement. Justin discusses the challenges of introducing cutting-edge technology into systems that still rely on spreadsheets and siloed workflows. Yet his optimism is clear. He believes governments are beginning to embrace AI not as a buzzword but as a practical tool to save time, resources, and lives. As one Florida community recently reported a 40 percent drop in traffic fatalities, the impact is already measurable. Urban SDK's story is about technology meeting public service with purpose. So as we enter another year of rapid AI progress, how can data-driven insights continue to empower local leaders to protect citizens and improve quality of life? And what could your city achieve if every decision were powered by real-time intelligence? Share your thoughts after the episode.

Join Simtheory: https://simtheory.ai----Check out our albums on Spotify: https://open.spotify.com/artist/28PU4ypB18QZTotml8tMDq?si=XfaAbBKAQAaaG_Cg2AkD9A----00:00 - OpenAI DevDay 2025 Recap03:24 - ChatGPT Apps SDK & MCP UI & Agents SDK42:11 - AgentKit & AgentBuilder: Who is it for?50:41 - GPT-5-pro in API53:15 - gpt-realtime-mini56:53 - Sora 2 & Sora 2 in API Vs Veo31:01:43 - Final thoughts & This Day in AI albums now on Spotify!Thanks for your support and listening xoxo

What happens when AI stops being a product and starts being a platform?With OpenAI's latest Dev Day changing the game, we might find out sooner rather than later. In this episode, Chris and Yaniv explore OpenAI's Dev Day and the huge announcements made (including the Sora 2 launch), as well as their apparent transformation from product to platform. In other tech news, the guys dive into Anthropic's open-source counterpunch with Claude's Agent SDK, along with Apple's controversial censorship call - all while analyzing what all of this means for startup founders building in the AI era.In this episode, you will:Understand how SDK, OpenAI's new ChatGPT App, turns AI into a full developer ecosystemLearn about “platform risk”,and how founders can avoid being crushed by itCompare OpenAI's walled-garden strategy to Anthropic's open, Unix-inspired approachExamine the launch of Sora, OpenAI's new AI video social network, and why it mattersDebate whether large tech companies can ever succeed in building new social platformsAnalyze Apple's ICE Block takedown and what it says about censorship in curated ecosystemsThe Pact Honor the Startup Podcast Pact! If you have listened to TSP and gotten value from it, please:Follow, rate, and review us in your listening appSubscribe to the TSP Mailing List to gain access to exclusive newsletter-only content and early access to information on upcoming episodes: https://thestartuppodcast.beehiiv.com/subscribe Secure your official TSP merchandise at https://shop.tsp.show/  Follow us here on YouTube for full-video episodes: https://www.youtube.com/channel/UCNjm1MTdjysRRV07fSf0yGg Give us a public shout-out on LinkedIn or anywhere you have a social media followingKey linksGet your question in for our next Q&A episode: https://forms.gle/NZzgNWVLiFmwvFA2A The Startup Podcast website: https://www.tsp.show/episodes/Learn more about Chris and YanivWork 1:1 with Chris: http://chrissaad.com/advisory/  Follow Chris on Linkedin: https://www.linkedin.com/in/chrissaad/  Follow Yaniv on Linkedin: https://www.linkedin.com/in/ybernstein/Producer: Justin McArthur https://www.linkedin.com/in/justin-mcarthurIntro Voice: Jeremiah Owyang https://web-strategist.com/

OpenAI franchit une nouvelle étape en transformant ChatGPT en véritable plateforme applicative. Annoncée lors du Dev Day du 6 octobre, cette évolution pourrait bouleverser notre manière d'interagir avec les services en ligne, en intégrant des applications comme Spotify, Canva ou Booking directement dans l'interface de ChatGPT.Ce qu'il faut retenir :Le modèle de ChatGPT évolue : il ne s'agit plus seulement de répondre à des questions, mais d'exécuter des tâches concrètes via des applications tierces intégrées. À la manière de l'App Store d'Apple, OpenAI entend créer un écosystème complet au sein de ChatGPT.Grâce à des kits de développement (SDK) fournis aux développeurs, des services comme Spotify, Canva, Booking ou encore TripAdvisor pourront interagir nativement avec l'utilisateur via l'interface du chatbot. Objectif : permettre aux utilisateurs de créer une playlist, réserver un hôtel ou générer des slides sans quitter ChatGPT.Ce mouvement stratégique pourrait marquer un tournant majeur dans l'histoire du web. Certains y voient les prémices d'un « navigateur conversationnel » susceptible de concurrencer les smartphones ou les moteurs de recherche traditionnels. Cette ambition s'accompagne d'investissements colossaux, notamment dans les infrastructures (achat massif de puces Nvidia et partenariat avec AMD) pour supporter cette vision à long terme.Mais la stratégie n'est pas sans risques : perte de contrôle pour les éditeurs, dépendance à la plateforme, enjeux commerciaux… Un modèle qui rappelle les débuts de Facebook ou d'Apple, avec des succès… et des échecs.-----------♥️ Soutienhttps://donorbox.org/monde-numerique

OpenAI has made significant strides in the AI landscape with a series of announcements that position it as a leading platform in the industry. The introduction of new models, including the GPT-5 Pro and Sora 2, alongside app integrations like Slack and a new Apps SDK, marks a pivotal moment for the company. These developments aim to enhance user interaction and streamline workflows, allowing users to perform tasks directly within the ChatGPT interface. The partnership with Advanced Micro Devices (AMD) for a multi-billion dollar chip deal further solidifies OpenAI's commitment to expanding its computing capabilities, crucial for the advancement of its AI technologies.In a contrasting scenario, Deloitte has faced scrutiny after delivering a flawed report to the Australian government, which included errors attributed to the use of AI. Despite this setback, Deloitte is moving forward with a significant partnership with Anthropic to deploy their AI chatbot, Claude, across its workforce. This juxtaposition highlights the challenges and risks associated with AI integration in business operations, emphasizing the need for careful governance and oversight. The incident serves as a cautionary tale about the potential pitfalls of relying too heavily on AI without proper verification.The podcast also discusses the broader implications of AI adoption in enterprises, revealing that a majority of AI projects are failing due to governance gaps and a lack of trust in the technology. A survey by Gartner indicates that many IT leaders are concerned about regulatory compliance, with only a small percentage feeling confident in their organizations' ability to manage AI tools effectively. This situation underscores the importance of establishing robust governance frameworks to ensure that AI implementations are both effective and trustworthy.As the AI landscape continues to evolve, the podcast suggests that service providers should pivot towards building governance frameworks and risk management strategies rather than simply promoting AI hype. The focus should shift to creating value through responsible AI use, ensuring that clients can trust the technology they are implementing. This new approach positions governance as a critical service line, essential for navigating the complexities of AI adoption and maintaining client trust in an increasingly automated world. Three things to know today 00:00 OpenAI Builds the Windows of AI: New Models, App Store, SDKs, and a Chip Deal Signal Platform Takeover06:50 Deloitte's AI Paradox — A Costly Error in Australia, Followed by Its Biggest AI Expansion Yet09:38 AI's Next Frontier Isn't Innovation — It's Accountability, and That's Where MSPs Win This is the Business of Tech.    Supported by:  https://mailprotector.com/  All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

At OpenAI DevDay, we sit down with Sherwin Wu and Christina Cai from the OpenAI Platform Team to discuss the launch of AgentKit - a comprehensive suite of tools for building, deploying, and optimizing AI agents. Christina walks us through the live demo she performed on stage, building a customer support agent in just 8 minutes using the visual Agent Builder, while Sherwin shares insights on how OpenAI is inverting the traditional website-chatbot paradigm by embedding apps directly within ChatGPT through the new Apps SDK. The conversation explores how OpenAI is tackling the challenges developers face when taking agents to production - from writing and optimizing prompts to building evaluation pipelines. They discuss the decision to adopt Anthropic's MCP protocol for tool connectivity, the importance of visual workflows for complex agent systems, and how features like human-in-the-loop approvals and automated prompt optimization are making agent development more accessible to a broader range of developers. Sherwin and Christina also reveal how OpenAI is dogfooding these tools internally, with their own customer support at openai.com already powered by AgentKit, and share candid insights about the evolution from plugins to GPTs to this new agent platform. They discuss the surprising persistence of prompting as a critical skill (contrary to predictions from two years ago), the challenges of serving custom fine-tuned models at scale, and why they believe visual agent builders are essential as workflows grow to span dozens of nodes. Guests: Sherwin Wu: Head of Engineering, OpenAI Platform https://www.linkedin.com/in/sherwinwu1/ https://x.com/sherwinwu?lang=en Christina Huang: Platform Experience, OpenAI https://x.com/christinaahuang https://www.linkedin.com/in/christinaahuang/ Thanks very much to Lindsay and Shaokyi for helping us set up this great deepdive into the new DevDay launches! Key Topics: • AgentKit launch: Agent SDK, Builder, Evals, and deployment tools • Apps SDK and the inversion of the app-chatbot paradigm • Adopting MCP protocol for universal tool connectivity • Visual agent building vs code-first approaches • Human-in-the-loop workflows and approval systems • Automated prompt optimization and "zero-gradient fine-tuning" • Service Health Dashboard and achieving five nines reliability • ChatKit as an embeddable, evergreen chat interface • The evolution from plugins to GPTs to agent platforms • Internal dogfooding with Codex and agent-powered support

What do a $500B AI valuation, mid‑match game ads, and a driverless traffic stop have in common? They all expose the gap between shiny innovation and the infrastructure, policy, and psychology that actually make tech work—or break trust.We open with OpenAI's eye‑popping valuation and go beneath the headline to the parts no press release glamorizes: data centers, power, cooling, fiber, and GPU supply. With partners like Nvidia, Oracle, and Microsoft shaping access, we unpack why AI will likely consolidate around a few players and what that means for startups burning cash on compute. From there, we challenge the classic “my phone is listening” myth. Instagram's chief says no, and we explain why your ads still feel psychic: cross‑app tracking, pixels, cookies, SDKs, and identity graphs that stitch your behavior together better than a hot mic ever could.Snapchat's move to charge for Memories over 5 GB hits a nerve. We talk about the end of “free forever,” how to export your data cleanly, and why local storage and physical media are making a quiet comeback as people hedge against shifting terms. Then the wild card: a free, ad‑supported tier for cloud gaming. We explore how interrupting live sessions could nudge upgrades—or kill trust—and what smart implementations might look like if Microsoft wants to keep gamers loyal. A quick detour into our favorite segment, Two Truths and a Lie, proves once again that “too dumb to be real” is no longer a safe bet.The Tech Fail may be the most telling: California police stop a Waymo for an illegal U‑turn and have no one to ticket. It's funny, but it's a governance problem—who's liable when there's no driver? We argue for clear frameworks before edge cases become norms. And for sports fans, we dig into automated ball‑strike challenges moving toward the majors, weighing precision against the theater of human officiating, and drawing parallels to football's quiet shift away from chains to computer measurement.Along the way, Mike breaks down how modern marketing leans on cognitive biases more than secret microphones, and we wrap with a blind bourbon upset that proves labels fool palates as easily as hype fools markets. If you care about AI, privacy, gaming, autonomy, or the future of sports tech, this one's packed.If you enjoyed this, follow and subscribe, share it with a friend, and leave a quick review—what shift are you most ready for: fewer AI players, fewer ads, or fewer bad calls?Support the show

Explore OpenAI's latest developer updates, including app integrations with Canva and Zillow, the rise of voice-first AI, and new smart home innovations from Google and Meta, all through the lens of blind tech users.Steven Scott and Shaun Preece dive into the future of AI and accessible technology, unpacking highlights from OpenAI's recent developer day. They discuss app integrations in ChatGPT with tools like Canva for image creation and Zillow for property searches, as well as the potential of voice-driven coding and SDKs that make app development more intuitive. The conversation widens to cover the accessibility implications of AI integrations, including Be My Eyes' new Service AI for customer support and partnerships with BT and EE in the UK. The hosts also share insights about Meta's updated AI app, privacy concerns, and the growing role of voice interactions. Finally, they explore Google's upcoming smart home devices, security cameras, and a 2026 smart speaker with Gemini integration—illustrating how AI is reshaping both everyday tasks and independent living for blind users.Relevant LinksBe My Eyes: https://www.bemyeyes.comOpenAI: https://openai.comMeta AI: https://about.meta.com/aiGoogle Nest Devices: https://store.google.com/collection/nest Find Double Tap online: YouTube, Double Tap Website---Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedin Subscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheart About Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited. "Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Discover the latest updates on the Ally Solos smart glasses with Envision's Karthik Kannan. Learn how the team is balancing AI accuracy, speed, and accessibility to deliver a smart wearable designed for blind and low-vision users. Steven Scott and Shaun Preece dive into a candid conversation with Karthik Kannan from Envision about the highly anticipated Ally Solos smart glasses. Karthik shares behind-the-scenes insights on pre-order demand, production challenges, and the pressure of meeting community expectations. The discussion explores how Envision balances AI accuracy versus response speed, the messy middle of product development, and updates on new backend improvements that make Ally more responsive. Karthik also addresses potential integrations with services like Aira and Be My Eyes, customising Ally's personality and verbosity, and the impact of Meta's SDK announcement on the future of the work of Envision going forward.If you're considering investing in accessible smart glasses or curious about the evolving AI wearables market, this deep dive provides valuable clarity.Relevant LinksEnvision: https://www.letsenvision.com Find Double Tap online: YouTube, Double Tap Website---Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedin Subscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheart About Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited. "Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Just as a detective must gather clues and consider all the evidence, ITOps teams investigating an outage must consider all available data points in context to understand where system failures likely occurred. Recent outages that impacted Starlink and Google Maps SDKs powerfully illustrated this point. Tune in to learn more about these incidents and also get an update on the September Red Sea cable cuts. ——— CHAPTERS 00:00 Intro 00:53 Starlink Outage 03:39 Google Maps Outage 06:50 Update: Red Sea Cable Cuts 13:26 Outage Trends: By the Numbers 14:34 Get in Touch ——— Want to get in touch? If you have questions, feedback, or guests you would like to see featured on the show, send us a note at InternetReport@thousandeyes.com. Or follow us on LinkedIn or X: @thousandeyes ——— ABOUT THE INTERNET REPORT This is The Internet Report, a podcast uncovering what's working and what's breaking on the Internet—and why. Tune in to hear ThousandEyes' Internet experts dig into some of the most interesting outage events from the past couple weeks, discussing what went awry—was it the Internet, or an application issue? Plus, learn about the latest trends in ISP outages, cloud network outages, collaboration network outages, and more. Catch all the episodes on YouTube or your favorite podcast platform: - Apple Podcasts: https://podcasts.apple.com/us/podcast/the-internet-report/id1506984526 - Spotify: https://open.spotify.com/show/5ADFvqAtgsbYwk4JiZFqHQ?si=00e9c4b53aff4d08&nd=1&dlsi=eab65c9ea39d4773 - SoundCloud: https://soundcloud.com/ciscopodcastnetwork/sets/the-internet-report

Join us for an exciting deep dive into Topia with founder Daniel as we explore how this spatial platform is revolutionizing virtual education! Discover how proximity chat, customizable worlds, and innovative SDK tools are creating delightful learning experiences for K-12 students in virtual schools, micro schools, and homeschooling environments.From supporting 500+ concurrent users to integrating with major LMS platforms, Topia is proving that online education can be engaging, social, AND safe. We discuss the platform's evolution, the importance of "delight" as a metric, and why students are literally clicking repeatedly just to get into class early!Whether you're an educator exploring virtual learning tools, a remote worker seeking better collaboration spaces, or just curious about the future of online community building, this episode is packed with insights.Head over to our website at ⁠⁠⁠hitechpod.us⁠⁠⁠ for all of our episode pages, send some support at ⁠⁠Buy Me a Coffee⁠⁠, our ⁠⁠⁠Twitter⁠⁠⁠, our ⁠⁠⁠YouTube⁠⁠⁠, and to see our faces (maybe skip the last one).Need a journal that's secure and reflective? Sign-up for the ⁠Reflection App⁠ today! We promise that the free version is enough, but if you want the extra features, paying up is even better with our affiliate discount.

Here's the thing. We have had brilliant ideas in Web3 for years, along with better tooling and plenty of enthusiasm, yet adoption still feels slower than it should be. In my conversation with Maciej Baj, founder of t3rn, we got under the skin of why that is and what it might take to change the pace. His starting point is simple to state and hard to deliver at scale: make cross-chain interactions feel seamless for users and predictable for developers. If you can do that, the door opens to practical products rather than experiments that only the bravest try. Maciej describes t3rn as a universal execution layer for cross-chain smart contracts, and the phrase matters because it changes how we think about interoperability. Instead of stitching together a mess of bridges and oracles, t3rn lets a contract access state and data across multiple chains from one place. Today it is mapped to the EVM for broad compatibility, but the design is chain agnostic by intent. That choice is less about tribal loyalties and more about meeting developers where they already build while keeping the door open to other ecosystems as the market evolves. Trust shows up in the details, and atomic execution is one of those details that changes behavior. If a multi-chain transaction cannot complete in full, it reverts. No half-finished transfers. No manual recovery adventures. This mirrors what smart contracts already offer on a single chain, which means developers can reason about outcomes without inventing fresh playbooks for every hop. It also reassures users, who care less about the plumbing and more about knowing that funds either arrive or return. Cost matters too. t3rn has been engineered for cost-efficient token movement across chains, which sounds mundane until you price a complex strategy that touches multiple venues. Lower friction makes new use cases economical. Maciej outlined a few that caught my eye. Trading algorithms that read and act on signals from multiple chains without duct tape. Simpler asset movement across ecosystems that do not share a wallet culture or UX conventions. Agent-driven executors that can watch for arbitrage or rebalance a portfolio without constant human oversight. The theme is the same throughout. Reduce the number of hoops and you increase the number of people willing to try something new. We also looked ahead. t3rn is preparing an integration with hyperliquid and rolling out a builder program to widen the ecosystem on top of its execution layer. An SDK is on the way so the community can help bring in new chains faster, rather than waiting for a core team to do all the heavy lifting. There is a governance track forming as well, aimed at giving the community more say in integrations and priorities. None of this guarantees success, but it signals a path from protocol to platform. I left the conversation with a clearer view of why interoperability still matters in 2025. The multi-chain world is not going away. Users move between ecosystems. Developers deploy to several environments at once. Liquidity, identity, and logic already live in many places. A universal execution layer that is reliable, cost aware, and easy to build on is the kind of boring-sounding foundation that ends up changing behavior. ********* Visit the Sponsor of Tech Talks Network: Land your first job  in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA

Expo SDK 54 and React Native 0.81 are a perfect match—and our hosts Mazen Chami, Frank Calise, and Tyler Williams are here to break it all down. In this episode, they dive deep into everything new in Expo SDK 54, from faster precompiled iOS builds to the sleek Liquid Glass feature and Android 16 support. If you want the complete rundown of what's fresh, powerful, and ready to use in Expo SDK 54, this episode has you covered. Show NotesExpo SDK 54 beta is now availablePrecompiling the Expo SDK for iOSExpo AutolinkingInfinite Red's articlePhil Pluckthun's article Connect With Us!Mazen Chami: @mazenchamiFrank Calise: @frankcaliseTyler Williams: @coolsoftwaredevReact Native Radio: @reactnativerdio This episode is brought to you by Infinite Red!Infinite Red is an expert React Native consultancy located in the USA. With nearly a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.

Stainless founder Alex Rattray joins a16z partner Jennifer Li to talk about the future of APIs, SDKs, and the rise of MCP (Model Context Protocol). Drawing on his experience at Stripe—where he helped redesign API docs and built code-generation systems—Alex explains why the SDK is the API for most developers, and why high-quality, idiomatic libraries are essential not just for humans, but now for AI agents as well.They dive into:The evolution of SDK generation and lessons from building at scale inside Stripe.Why MCP reframes APIs as interfaces for large language models.The challenges of designing tools and docs for both developers and AI agents.How context limits, dynamic tool generation, and documentation shape agent usability.The future of developer platforms in an era where “every company is an API company.”Timecodes: 0:00 – Introduction: APIs as the Dendrites of the Internet1:49 – Building API Platforms: Lessons from Stripe3:03 – SDKs: The Developer's Interface6:16 – The MCP Model: APIs for AI Agents9:23 – Designing for LLMs and AI Users13:08 – Solving Context Window Challenges16:57 – The Importance of Strongly Typed SDKs21:07 – The Future of API and Agent Experience24:45 – Lessons from Leading API Companies26:14 – Outro and DisclaimersResources: Find Alex on X: https://x.com/rattrayalexFind Jennifer on X: https://x.com/JenniferHliStay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.