Podcasts about apple silicon

PHP Podcast – June 11, 2026 Guest Hosts: Sara Golemon, Elizabeth Barron & Holly Schilling Eric and John are out this week — Sara, Elizabeth, and Holly take over. Here’s what they covered: PHPVerse Recap PHPVerse just wrapped up, and Elizabeth was there in Amsterdam. The format is unusual — all speakers are flown to one location, but the audience is entirely virtual. It was a class act: professional TV crew, studio lighting, and a makeup and hair team on site. Around 2,500–3,000 people watched the live stream. Everything was broadcast as one long block; individual talk segments and possibly the documentary trailer will be cut and released separately. The full stream is available now — the PHP documentary trailer (produced by Jet Breeze, covering 30+ years of PHP history) appears around the 2:24:30 mark. PHP Foundation 2026 Strategy Document Elizabeth and the PHP Foundation released their 2026 strategy document the same day as this recording. The foundation gathered community input across numerous conversations and conferences, synthesized it into findings, and has now published a plan for the rest of the year. Key themes: repositioning PHP’s public perception (which Elizabeth calls a solvable problem), creating six special interest groups, and launching an Onboarding Initiative to build a real on-ramp for new PHP developers. Elizabeth’s view is that the two things giving her the most hope for PHP’s future are the passion and expertise of the community, and how good the language itself has gotten. Visit thephp.foundation to read the full document. The Onboarding Initiative One of the six special interest groups the foundation is launching is specifically focused on bringing new developers into PHP. Goals include creating a true learning path (not just a reference manual that assumes existing knowledge), improving educational resources, and potentially working with the php.net website to improve the first-time experience. Holly made the point that PHP’s barrier to entry is genuinely lower than almost any other language — the Hello World program is 11 characters — but that story isn’t being told outside the PHP bubble. New developers are turning to JavaScript as a first language and running into minified spaghetti instead of something approachable. AI Writing PHP — And PHP as a Second Language Holly built the entire PHP Tek conference app backend in Laravel without writing a single line of code herself — AI-generated throughout, which she reviewed and approved. The code held up to peer review at the conference with only minor style nits. She ran it on PHP 8.3 and used modern standards throughout (one piece of feedback: stop using empty()). The consensus: AI models write good modern PHP because of the vast amount of open source PHP they were trained on. The caveat Sara raised is worth thinking about — how much of that training data is PHP 4-era code and WordPress 3 repositories? Either way, Holly’s case for PHP as a second language is strong: low ceremony, low boilerplate, readable syntax, and it’s a language where you can do something useful in minutes. PHP’s Reputation Problem (and Why It’s Fixable) The group dug into PHP’s perception gap — the mismatch between how good the language actually is and how it’s perceived outside the community. Holly’s experience as a mobile developer who recommends PHP to others: the pushback is immediate (“isn’t that slow?”, “isn’t that dead?”). The benchmarks don’t support that reputation — PHP outperforms Python on most comparable workloads — but data alone doesn’t shift perception. Elizabeth’s point is that this is primarily a storytelling and coordination problem, not a language problem, and that the foundation’s repositioning work is exactly aimed at closing that gap. The community has the passion. It just needs to tell the story outside its own bubble. PHP Polling API RFC Sara walked through the RFC for a new Polling API in PHP (wiki.php.net/rfc/poll_API). The short version: PHP currently has five or six different ways to do I/O multiplexing (watching multiple streams and acting on whichever one is ready first), and which one works depends on the OS, available extensions, and PHP version. The Polling API proposal creates a single, unified interface that abstracts all of that. The immediate beneficiaries are async frameworks like Amp PHP, ReactPHP, and Revolt, which currently have to maintain multiple backend implementations to cover different environments. The bigger picture: this is a building block on the path toward true async PHP, likely contributing to something more complete in PHP 9.0. Most app developers won’t use it directly — but the libraries they depend on will. RFCs are all listed at wiki.php.net/rfc. PHP.net: Do As We Say, Not As We Do Sara, who has contributed to php.net, copped to the state of the codebase: some of it dates to the PHP 3 era, there are functions.inc files, and it is very much “do as we say, not as we do.” The historical reason is that php.net used to rely on community-administered mirrors (r-synced servers running everything from PHP 5.1 to 5.6 simultaneously), so modernizing the code was impossible without controlling the runtime. That’s changed with CDN-based load balancing — they can now control what PHP version runs on php.net — and the code has been getting better. But it’s a slow process. PHP Podcasts Past, Present, and Future Holly asked about the PHP Town Hall podcast (Ben Edmonds and Phil Sturgeon), and the group did a quick tour of PHP podcast history. The PHP Roundtable — originally started by Sammy, taken over by Eric — has produced about three episodes. Sara and producer Joe are planning to take it off Eric’s hands and actually do it properly. And Elizabeth announced that the PHP Foundation is launching a new podcast: tentatively called PHP at Scale, hosted by Ben Marx, focused on telling the stories of organizations pushing PHP to its limits. No launch date yet, but there’s already a queue of interested guests. Next Week’s Show — Moved to Wednesday Sara will be on a boat off the coast of Galicia on Thursday, so next week’s episode is moving to Wednesday. Guests will include Paul Reinheimer and (hopefully) Sean Coase — two veterans from PHP’s podcasting past. Elizabeth is going to try to make it work around the Canadian Grand Prix. Mac Mini M4 for Local LLMs Holly picked up a refurbished Mac Mini M4 (16GB RAM, 512GB storage) specifically to run LLM models locally via Ollama. Apple Silicon is a solid choice for this because the unified memory architecture gives the neural cores access to far more RAM than a discrete GPU setup. Sara is waiting for the M5, which is reportedly not coming until fall — and is already resigned to spending too much on it when it lands. Links from the show: PHP Foundation — 2026 Strategy Document PHP RFC: Polling API PHP RFC Wiki — All RFCs Under Discussion Amp PHP — Async framework ReactPHP — Event-driven async PHP Revolt — Event loop for PHP php.net website source code (github.com/php/web-php) PHP Architect Discord Guest Hosts: Sara Golemon Based in Lisbon, Portugal PHP core contributor; code contributor via the Curl project (which means she technically has code on Mars) Elizabeth Barron Executive Director, PHP Foundation Based in Germany Holly Schilling Primary mobile developer; built the PHP Tek 2026 conference app Based near Chicago, IL Streams: Youtube Channel Twitch Connect & Hire PHP Architect Website Twitter/X Mastodon Hire PHP Developers Looking to hire PHP developers? Email support@phparch.com – Joe and the team are available for consulting, infrastructure work, Ansible playbooks, and code review. Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore Music Provided by Epidemic Sound https://www.epidemicsound.com/ Join Us Live Next Week Note: Next week’s show is on Wednesday (not Thursday) with guests Paul Reinheimer and Sean Coase. Youtube Channel Got feedback? Join us on Discord at discord.phparch.com The post The PHP Podcast 2026.06.11 appeared first on PHP Architect.

(00:00:00) WWDC 2026: il mea culpa di Apple e il ritorno alle origini (00:00:16) L'ansia del post-Keynote e il caos burocratico europeo (00:06:21) Confini azzerati: l'era della convergenza totale (00:06:31) Il grande "mea culpa" di Craig Federighi (00:07:48) Storia di una svolta: da Apple Silicon allo Spatial Computing (00:09:01) iOS 27 alla prova: addio bug, rinasce la stabilità (00:15:19) Meno funzioni, più sostanza: la cura del dettaglio (00:18:00) La trappola della nostalgia e l'evoluzione del Liquid Glass (00:22:53) Proteggere il futuro: Apple e la scommessa sulla sicurezza dei minori (00:28:58) Siri diviene chatbot: la strana convivenza tra privacy e intelligenza artificiale A due giorni dal Keynote della WWDC 2026, mettiamo da parte l'elenco delle novità per guardare il quadro d'insieme. Questa è stata la conferenza del grande "mea culpa" di Apple, un ritorno alle origini dove l'ottimizzazione e la stabilità hanno preso il posto degli orpelli grafici. Analizziamo le prime impressioni di iOS 27 (sorprendentemente freddo e reattivo già dalla prima beta), la semplificazione dell'interfaccia Liquid Glass, la svolta nei controlli parentali per i più piccoli e il debutto di Siri AI in veste di vero e proprio chatbot. Una riflessione a cuore aperto sui ritardi europei, le sanzioni e la maturità di un ecosistema digitale che prova a ridefinire il futuro della tecnologia.Visita Digiteee e scopri tutte le notizie sulla tecnologiaSegui Digiteee su TikTokDimmi la tua su Twitter, su Threads, su Telegram, su Mastodon, su BlueSky o su Instagram.Mail jacoporeale@yahoo.it Scopri dove ascoltare il podcast e lascia una recensione su Apple Podcast o Spotify.Ascolta An iPad guy su YouTube Podcast.Supporta il podcast

Palabras clave: Microsoft, Edge, ARM, LLM, Traducción, Apple Silicon, Memoria RAM ### La fragmentación de funciones en Microsoft Edge ### Estrategias de traducción y el uso de LLMs ### Consideraciones técnicas sobre el hardware y los LLMs

「macOS 27 Golden Gate」が2026年秋に登場　初のApple Silicon専用バージョンに。　Appleは6月8日（米国太平洋夏時間）、Mac向けOSの新バージョン「macOS 27 Golden Gate」を発表した。同日から開発者向けβテスト、7月から一般ユーザーも参加できるパブリックβテストを実施した後に、2026年秋に正式リリースされる予定だ。

En el Manzanas Enfrentadas de hoy como no puede ser de otra forma, arrancamos con la inminente WWDC 26. Cuando se publique este podcasts, estaremos a 24h del evento más importante del año en Apple. Para algunos fan de la marca, el día de la presentación de los nuevos iPhone en septiembre es el día más celebrado del año. Pero este acontecimiento de junio, el evento de software para desarrolladores, es en realidad el que nos dará a conocer como vamos a interactuar con nuestros dispositivos. El tema más espinoso que tratamos es la noticia de la posible llegada de Siri en beta. Al parecer, aunque llevan más de dos años de retraso, no han terminado de pulir todos los detalles. No sabemos si será una forma de cubrirse las espaldas o que verdaderamente no termina de cumplir unos estándares de calidad.Nvidia presenta RTX Spark, una nueva plataforma para pc con Windows que permitirá ejecutar IA en local de manera asombrosa. Apple lleva 7 años en solitario reinando con sus Apple Silicon, y puede que haya llegado su verdadero rivalReino Unido amenaza con encarcelar a los CEO de Apple y Google si no impiden que los menores accedan a contenido para adultos. Ha sido algo más que una advertencia, un aviso muy serio. Pro lo que tendrán que tomar medidas.Este podcasts es parte del compromiso 7 de 7 de Manzanas Enfrentadas. Lo tenemos!!!.

Microsoft y Nvidia anunciaron un nuevo chip RTX con 128 GB de memoria unificada al estilo Apple Silicon, optimizado para correr IA local en el nuevo Surface Laptop Ultra. Microsoft también lanza sus propios modelos de IA (MAI-Thinking-1, Code-1 Flash) y nuevos agentes. Llega el Dell XPS 13 nuevo. Y Guillermo está probando el Oura Ring 5 para reemplazar su Apple Watch.

J-2 avant la WWDC 2026, le plus grand événement Apple de l'année ! Lundi, à 19 h, Tim Cook dévoilera iOS 27, macOS 27 et toutes leurs déclinaisons. Cette année plus que jamais, Apple est attendue au tournant dans un domaine bien particulier, l'intelligence artificielle. Quelles sont les dernières rumeurs et quels sont nos espoirs ? On en discute dans cette émission.Au programme également, Nvidia veut reproduire le succès des puces Apple Silicon dans les PC, la plateforme de partage d'abonnements Spliiit est lourdement condamnée et Apple est rattrapée par le fisc.___Vous aimez ce podcast ? Mettez-lui ⭐️⭐️⭐️⭐️⭐️ ! Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Il vibe coding rappresenta una rivoluzione nel modo in cui creiamo software, basta descrivere quello che vogliamo e l'intelligenza artificiale lo genera per noi. Un approccio che ha democratizzato lo sviluppo, permettendo a chiunque di trasformare le proprie idee in app funzionanti senza dover imparare a programmare. Tuttavia, questa apparente semplicità nasconde una realtà più complessa e per certi versi preoccupante. Se da un lato l'IA è diventata straordinariamente brava a scrivere codice funzionante, dall'altro molto di questo codice contiene vulnerabilità critiche e banali. Internet sta quindi diventando meno sicuro per colpa dell'intelligenza artificiale? In questa puntata cerchiamo di capirlo, analizzando il fenomeno del vibe coding, i suoi benefici, i suoi rischi e il sottile confine tra creazione e hacking.Nella sezione delle notizie parliamo del nuovo chip RTX Spark di NVIDIA, dell'esplosione del razzo New Glenn di Blue Origin e infine di una possibile legge italiana che vieta l'accesso ai social network ai minori di 15 anni.--Indice--00:00 - Introduzione01:14 - Il chip NVIDIA per portare l'IA sui PC (IlSole24Ore.com, Luca Martinelli)03:13 - L'esplosione del razzo New Glenn (DDay.it, Matteo Gallo)04:30 - Vietare i social agli under 15? (HDBlog.it, Davide Fasoli)06:16 - Il vibe coding renderà Internet meno sicuro? (Luca Martinelli)19:06 - Conclusione--Testo--Leggi la trascrizione: https://www.dentrolatecnologia.it/S8E23#testo--Contatti--• www.dentrolatecnologia.it• Instagram (@dentrolatecnologia)• Telegram (@dentrolatecnologia)• YouTube (@dentrolatecnologia)• redazione@dentrolatecnologia.it--Brani--• Ecstasy by Rabbit Theft• Redemption by Max Brhon

Next week is Apple's WWDC conference, but this week was all about Microsoft. But first, Andrew showed off his new DIY smartwatch to Marques and David. Then they go over the new announcements from Microsoft and NVIDIA including a new chip that might finally be some competition for the M-series chips. Allegedly. Maybe. Of course, we wrap it all up with trivia! Links: Fitbit Air mods Ollee watch Cam Shand - Ollee watch video 9to5Google - Opting out of AI overview in Google search Verge - Gemini Spark Microsoft - RTX spark Microsoft Surface Ultra Verge - Microsoft Project Solara Agent OS Newswire - Microsoft Banks Claude Code This episode brought to you by: ChefIQ: https://chefiq.com/discount/WAVE Shopify: https://www.shopify.com/wave Follow us on socials: Marques: https://twitter.com/MKBHD Andrew: https://www.instagram.com/andrew_manganelli/ David: https://www.instagram.com/davidimel/ Adam: https://www.instagram.com/parmesanpapi17/ Ellis: https://twitter.com/EllisRovin Waveform: Twitter: https://twitter.com/WVFRM Threads: https://www.threads.net/@waveformpodcast Instagram: https://www.instagram.com/waveformpodcast/ TikTok: https://www.tiktok.com/@waveformpodcast Join the Discord: https://discord.gg/mkbhd Intro/Outro music by 20syl: https://bit.ly/2S53xlC Waveform is part of the Vox Media Podcast Network. Learn more about your ad choices. Visit podcastchoices.com/adchoices

NVIDIA is aiming to compete with Apple Silicon, Shift offers free cleaning in exchange for video of your home, then we dive into all the rumors around iOS and macOS 27 including revamped Siri, new AI-powered features, redesigned Photos and Camera apps, and share our hopes and dreams for WWDC.Member Promo Code: IWANTCHAPTERS (Click above and the $2.50 promo will be auto applied!)Top Five Tech | Stephen's PodcastCreative Effort | Jason's PodcastWatch on YouTube!Show Notes via EmailEmail Us: podcast@primarytech.fm@stephenrobles on Threads@jasonaten on ThreadsSponsors:NordLayer - Get up to 22% off NordLayer yearly plans plus 10% on top with the coupon code: PRIMARTYTECHNOLOGY10 at: nordlayer.com/primarytechnologyLinks from the showJason's Hopes for WWDC - Apple NewsShift X VideoNvidia Challenges Apple Silicon With New RTX Spark PC Chip - MacRumorsKelsey Peterson at OpenAI - XNvidia Challenges Apple Silicon With New RTX Spark PC Chip - MacRumorsApple iOS 27 Photos, Screenshots: Revamped Siri, Pro Camera App, New AI Features - BloombergiOS 27 will let you choose between Gemini, Claude, and more for AI features: report - 9to5MacMore Apple Intelligence features detailed as iOS 27 leaks continue | MacworldiOS 27 Will Add These New Features to Your iPhone - MacRumorsiOS 27 has new features coming for two of iPhone's most popular apps - 9to5MaciOS 27 to feature upgraded Camera interface and Photos app: Here's what's rumored - 9to5MacApple reportedly scales back plans for AI-powered health coach - 9to5MaciOS 27 Features: Apple Plans to Let Users Build Their Own Passes in Wallet App - BloombergmacOS 27: Five new Mac features being announced next month - 9to5MaciPadOS 27 | Siri chatbot, Multitasking, StabilitymacOS 27: Two More Changes Leaked Ahead of WWDC Next Month - MacRumorsIntroducing RemCTL: The Power-User Reminders CLI for macOS and AI Agents - MacStoriesWWDC 2026 Wishlist: Three Things I Want From AppleApple Glasses: Late 2027 Release, Watch Comparison; iOS 28; Apple TV, HomePod - BloombergBitrig | The best way to build native Swift apps with AIVacbird Rechargeable Pump Travel Storage Bags SetLuggage Bags and Travel Suitcases | JulyDELSEY PARIS Helium Aero Hardside Expandable Luggage (00:00) - Intro (03:16) - Shift Cleaning + Robots (05:45) - NVIDIA's New Chips (08:07) - iOS 27 Rumors Roundup (38:06) - Sponsor: NordLayer (40:09) - Our WWDC Hopes and Dreams (01:10:59) - Claude Does It Again ★ Support this podcast ★

NVIDIA lleva décadas haciendo tarjetas gráficas. Pero esta semana en Computex Taipei ha presentado algo que nunca había hecho antes: su primer chip integrado para portátiles. Lo llaman RTX Spark.¿Es una amenaza real para Apple Silicon? ¿O es solo una promesa más de la industria Windows? Jensen Huang dice que van a "reinventar el PC". ¿Lo dice en serio o es marketing?En este episodio analizamos qué es exactamente el RTX Spark, qué dicen los primeros benchmarks comparados con los M5, qué están haciendo Microsoft, ASUS, Dell, HP y Lenovo con él, y qué significa para el mercado de portátiles que el 100% de la industria Windows se haya alineado detrás de NVIDIA.Sin sesgos. Solo datos, contexto, y algún zasca.#Apple #podcast #tech #iPhone¡Esperamos que os hayan gustado estas noticias! Compartid el episodio con vuestros amigos y encontradnos en nuestro grupo de Telegram y RRSS:Bluesky @menfrentadas.bsky.socialX @MEnfrentadasMastodon @ManzanasEnfrentadas@mas.toThreads @manzanasenfrentadasTikTok @manzanasenfrentadasTelegram @manzanasenfrentadasMúsica de fondo: Helado de Cereza Loop 1Música de https://www.fiftysounds.com

Theo Jaffee speaks with Steven Sinofsky about the next generation of personal computing and the growing role of AI-native hardware. The conversation covers NVIDIA's entry into the PC market, Microsoft's strategy for AI-powered devices, Apple's hardware roadmap, and the long-running tension between backward compatibility and platform reinvention. Sinofsky explains why AI may fundamentally change how personal computers are designed, and why local inference could become increasingly important as AI workloads grow. Along the way, they discuss Windows, Surface, Arm processors, Apple Silicon, and what the future of computing might look like as AI shifts from the cloud to devices. Resources: Find Steven on X: https://x.com/stevesi Find Theo on X: https://x.com/theojaffee Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Bom dia Tech! Tudo bem? Meu nome é Arthur Givigir e hoje é terça-feira, dia 02 de junho de 2026 e trago para vc as principais notícias de tecnologia, vamos lá?Quer patrocinar ou fazer uma parceria com o Bom dia Tech? Mande um e-mail para contato@bomdia.teche vamos conversar!Apoio03:48: Promoções do 6.6 da Amazon - Diversos ProdutosNotícias00:00: ☀️ Bom dia Tech!00:23: Voo da United retorna após alerta causado por nome de dispositivo Bluetooth01:22: Google abrirá sua primeira loja física fora dos Estados Unidos em Tóquio02:29: Tela Brasil estreia como streaming gratuito do governo com filmes nacionais04:22: Apple TV 4K e HomePod mini devem ganhar novos chips com chegada da nova Siri05:32: Dell lança rival do MacBook Neo e Nvidia prepara novo chip para enfrentar Apple Silicon06:27: Nvidia RTX Spark marca entrada da empresa no mercado de chips completos para PCs07:44: Inté a próxima!Produtos do EpisódioNintendo Switch OLEDBundle Nintendo Switch OLED com Mario Kart 8PlayStation 5 SlimPlayStation DualSenseXbox Series S (Mercado Livre)PlayStation 5 (Mercado Livre)Samsung Galaxy S24Samsung Galaxy S24 UltraApple iPhone 16 (128 GB)Apple iPhone 15 (128 GB)Apple iPhone 14 (128 GB)Apple iPhone 14 Plus (128 GB)Kindle ScribeComprando por esses links, o Bom dia Tech recebe uma pequena comissão e você ajuda no crescimento do podcast.Redes sociais:InstagramThreadsMastodonCapa:Capa: Nvidia

Apple estaría preparando uno de los cambios más grandes de los últimos años… y esta vez no se trata solo de diseño, colores o pequeñas mejoras.En este nuevo APPLEaks, analizamos cómo iOS 27, la nueva generación de Siri, Apple Intelligence, los futuros iPhone 18 Pro, iPhone 18 Pro Max y el esperado iPhone Fold podrían formar parte de una misma estrategia: llevar cada vez más inteligencia artificial al dispositivo, con procesamiento local, más memoria, más almacenamiento y modelos mucho más potentes funcionando dentro del ecosistema Apple.Pero ojo, porque lo que al principio suena como una gran noticia también puede traer una consecuencia bastante incómoda: muchos usuarios podrían quedarse afuera de las funciones más avanzadas si no tienen un iPhone reciente. También hablamos del futuro de las Mac con Apple Silicon, el final progresivo de Rosetta 2, las posibles novedades de watchOS 27, los nuevos HomePod, Apple TV, Mac Studio y Mac Mini, además de los rumores más fuertes sobre gafas inteligentes estilo Ray-Ban, servidores con chips NVIDIA, cámaras más avanzadas para el iPhone 18 Pro y las primeras filtraciones del iPhone Fold. APPLEaks vuelve con un episodio cargado de rumores, filtraciones, señales de alerta y una pregunta clave:Capítulos de YouTube00:00 Bienvenida a un nuevo APPLEaks00:35 El dominio del MacBook Neo y los problemas de producción01:14 Rosetta 2 llega a su final y las Mac Intel quedan complicadas02:45 watchOS 27, salud y Apple Intelligence en el Apple Watch04:20 iOS 27 y la señal de alerta: ¿vas a tener que cambiar de iPhone?06:03 Siri, IA local y modelos Gemini dentro del iPhone08:07 Habilidades, modelos pequeños y más almacenamiento local09:52 Sponsor: SiaImport10:59 El nuevo Siri estilo ChatGPT y la integración con Spotlight12:50 Cinco posibles productos nuevos de Apple14:10 Gafas inteligentes, Vision Pro 2 y el futuro de Apple Intelligence15:18 Chips NVIDIA, centros de datos y el costado cloud de la IA de Apple16:15 Cambios de diseño en iOS 27 y ajustes tipo Snow Leopard17:02 iPhone 18 Pro: nueva cámara, obturador mecánico y sensor más avanzado19:10 Pantalla más grande y posibles cambios de diseño en el iPhone 1819:55 iPhone Fold: filtraciones, fundas, bisagra y pantallas21:36 Cierre y despedida #APPLEaks #Apple #iPhone18 #iPhoneFold #iOS27 #Siri #AppleIntelligence #MacBookNeo #watchOS27 #idearVlogApple, APPLEaks, idearVlog, Fabián Fernández, Apple Intelligence, Siri, iOS 27, iPhone 18, iPhone 18 Pro, iPhone 18 Pro Max, iPhone Fold, iPhone plegable, MacBook Neo, Rosetta 2, macOS 28, watchOS 27, HomePod, Apple TV, Mac Studio M5, Mac Mini M5, Gemini, IA local, inteligencia artificial Apple, gafas Apple, Vision Pro 2, Mark Gurman

In Touch with iOS episode 424, Dave Ginsburg is joined by Jeff Gamet, Guy Serle, Marty Jencius, Jill McKinley, and Eric Bolden to discuss Apple's latest Vision Pro immersive soccer documentary, WWDC 2026 announcements, AI-powered accessibility features, Google's new smart glasses, and Apple's growing education push with MacBook Neo devices. The panel also covers Plex's massive price increase, Meta layoffs, Fortnite's return to the App Store, new Mac apps, and Apple filming an MLS match entirely on iPhone 17 Pro devices. Plenty of laughs, tech insight, and Macstock excitement round out the show. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary In episode 424 of In Touch With iOS, Dave Ginsburg is joined by Jeff Gamet, Guy Serle, Marty Jencius, Jill McKinley, and Eric Bolden for a packed discussion covering Apple news, Vision Pro updates, WWDC anticipation, accessibility improvements, AI-powered gadgets, and plenty of laughs along the way. The show opens with discussion around Apple's latest immersive Vision Pro experience, "Real Madrid: The Weight of Greatness," a new Apple Immersive Video documentary filmed using more than 30 Blackmagic cameras during the 2025 Champions League. The panel talks about Apple continuing to expand immersive sports storytelling while also connecting it to the company's growing MLS partnership. The conversation quickly turns humorous as Guy wonders whether there's a "fake Madrid," while Jeff enjoys Dave's attempts at pronouncing soccer player names. The team then dives into Google's upcoming AI smart glasses announced during Google I/O. These audio-first glasses, developed with Samsung and Warby Parker, sparked debate over privacy, practicality, and whether anyone actually wants AI glasses without displays. Marty compares them to Meta's Ray-Ban glasses, while Jeff jokes they're "birth control glasses." The panel also raises concerns about privacy, facial recognition, and always-on cameras in public spaces. WWDC 2026 excitement continues building as Apple officially announced the keynote schedule and media invitations for June 8. The group discusses rumors surrounding iOS 27, Siri upgrades, AI integration, and the annual anticipation surrounding Apple's biggest software event. Jill shares that she's often more excited about software announcements than hardware reveals, while Dave calls WWDC "a holiday." The panel also spends time discussing Apple's preview of new accessibility features powered by Apple Intelligence. Updates to VoiceOver, Magnifier, Accessibility Reader, subtitles, and Vision Pro wheelchair controls impressed the group, with several hosts sharing personal stories about how accessibility tools already help them daily. The team praises Apple for remaining an industry leader in accessibility innovation year after year. On the Mac side, the discussion focuses on Kansas City Public Schools transitioning 30,000 students away from Windows PCs and Chromebooks to Apple devices, including MacBook Neo laptops. The panel talks about Apple's growing affordability in education, the long-term benefits of students learning on macOS, and how Apple Silicon helped Apple finally compete aggressively at lower price points. Dave also highlights Hovercraft, a new Mac app designed to improve presentations during video calls without fully replacing the presenter's camera feed. The panel compares the lightweight tool to Ecamm Live while discussing whether the app's one-time pricing model is sustainable. A new recurring segment debuts: "In Touch with Jeff's Blog," where Jeff discusses Meta laying off 8,000 employees while aggressively shifting focus toward AI initiatives. The panel critiques Meta's priorities, especially layoffs impacting cybersecurity and integrity teams, and debates whether the company is simply chasing the next big trend. Jeff's second blog topic covers Plex dramatically increasing the price of its lifetime Plex Pass license from $249 to $749. The panel reacts with disbelief, jokes about "lifetime" depending on your age, and discusses how subscription pricing models continue reshaping software businesses. Topics and Links In Touch With Vision Pro this week.  Apple Immersive video on Real Madrid coming this week to Vision Pro  Trailer: Apple Vision Pro: Official Trailer for Real Madrid: The Weight of Greatness Google's First AI Smart Glasses Launching This Fall With iPhone Support Beta this week. iOS 26.5 was released last week no beta this week before WWDC.. we think. In Touch With Mac this week Kansas City Public Schools to replace 30,000 Windows PCs and Chromebooks with Apple devices Hovercraft is a new Mac app that makes video call presentations feel more personal https://sandwich.vision/hovercraft New Segment: In Touch WIth Jeff's Blog Jeff Gamet -Blog Link Zuckerberg Sacrifices 8000 Employees for AI Dream Plex Lifetime Pass Gets a $500 Price Hike Other Topics Apple Announces WWDC 2026 Schedule, Sends Media Invites  Happy 25th Apple Retail Stores Apple's First Retail Stores Opened 25 Years Ago Today Apple unveils new accessibility features, and updates with Apple Intelligence  Apple Re-Releases a Sold-Out iPhone MagSafe Grip in Three New Colors This is for Jeff Cats Lock for Mac Stops Your Cat From Causing Keyboard Havoc Link to app: Cats Lock For Eric: Birdfy Review: Smart Bird Feeders and Bird Bath Put to the Test News Nintendo's New 'Pictonico' iOS Game Turns Your Photos Into Minigames Fortnite Returns to the App Store Worldwide as Epic Signals 'Final Battle' With Apple iPhone 17 Pro Will Make Sports History This Weekend - MacRumors Announcements Macstock X is here celebrating its 10th anniversary ! Dave, Chuck, Jeff, Marty, and Jill are all speaking this year!. With Three Full Days of expert-led Presentations and Workshops, Macstock's sessions are crammed full of productivity-enhancing content. NEW this year is a partnership with sponsor Ecamm. Ecamm Creator Camp: Mac Edition on July 9, 2026 there are only 100 tickets available for the bundle. There are 2 passes available: Macstock weekend pass July 10,11,12, 2026 or the Macstock Ecamm Bundle starting July 9 (only 100 tickets available)  Come join us. Register HERE and use our offer code INTOUCH to save $50 Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastodon @daveg65, , BlueSky @daveg65  and the show @intouchwithios   Our Regular Contributors Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on Mastadon @jgamet Pixelfed @jgamet@pixelfed.social and Bluesky @jgamet.bsky.social‬ Podcasts The Context Machine Podcast  Retro Rewatch Retro Rewatch His YouTube channel https://youtube.com/jgamet Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and Circular Firing Squad Podcast. Find him at jencius@mastodon.social  https://thepodtalk.net  Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him by email at eabolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast.   Jill McKinley works in enterprise software, server administration, and IT A lifelong tech enthusiast, she started her career with Windows but is now an avid Apple fan. Beyond technology, she shares her insights on nature, faith, and personal growth through her podcasts—Buzz Blossom & Squeak, Start with Small Steps, and The Bible in Small Steps. Watch her content on YouTube at @startwithsmallsteps and follow her on X @schmern. Find all her work at http://jillfromthenorthwoods.com  Chuck Joiner is the host of MacVoices and hosts video podcasts with influential members of the Apple community. Make sure to visit macvoices.com and subscribe to his podcast. You can follow him on Twitter @chuckjoiner and join his MacVoices Facebook group. Guy Serle is one of the hosts of the new The Gmen Show along with GazMaz and email GMenshow@icloud.com  @MacParrot and @VertShark on X  Vertshark on YouTube, Google Voice +1 Area code  703-828-4677

At NAB 2026, Russell Pompea, Account Executive from Topaz Labs, discusses major advances in Topaz Video, including Starlight Precise 2.5 for restoring low-quality footage, SDR-to-HDR conversion, and Apple Silicon optimization. The conversation also covers Topaz's photography tools, model customization, subscription pricing, local vs. cloud processing, and shared responsibility for cloud security.  Show Notes: Chapters: 0:02 Introduction from NAB 2026 0:13 Topaz Labs booth and what's new 0:33 Updates to Topaz Video and Starlight upscalers 0:53 Upscaling, denoising, deblurring, stabilization, and HDR conversion 1:15 Starlight Precise 2.5 and low-quality footage restoration 1:40 Restoring older catalogs, DV footage, film scans, and documentaries 2:08 Babylon 5 upscaling and ongoing Topaz improvements 2:46 Apple Silicon optimization and M-series performance gains 3:24 Studio and post-production feedback shaping development 3:56 Topaz tools for photography and still images 4:56 Wonder models for photo restoration and noise removal 5:21 Model choices, customization, and deeper editing controls 6:11 Subscription pricing and Topaz Studio options 7:44 AI processing costs, cloud use, and on-device inference 8:25 Cloud processing, security, and in-house AI models 9:32 Shared security responsibility between vendors and customers 10:57 Where to learn more about Topaz Labs 11:07 Closing comments from NAB Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Au programme dans l'actu des nouvelles technologies et de l'accessibilité dans cet épisode : La rafale d'annonces de Google de mai 2026 Google TalkBack 17 est disponible, quoi de neuf ? Voici Gemini Intelligence : Google promet un monde où votre smartphone fait presque tout à votre place. Google réserve Gemini Intelligence aux flagships Android avec 12 Go de RAM. Google dévoile le Googlebook, un PC portable sous Android qui enterre le Chromebook. Google I/O 2026 : le grand récap des annonces IA. Du côté des applications et du web Apple dévoile les fonctions d'accessibilité d'iOS 27 avec Apple Intelligence. Feuille de route de NVDA pour 2026. NVDA 2026.1.1 est disponible et corrige des problèmes de sécurité . Samsung remplace sa version TalkBack par celle de Google dans One UI 9 Beta. Mole, l'application de nettoyage pour macOS est disponible en version graphique. Quickmail : un nouveau client de messagerie pour Windows. Native Instruments, créateur de Traktor et Reaktor, sauvée au dernier moment par InMusic. Amadeus Pro version 3 (Apple Silicon) est disponible en beta. La version LITe est également disponible en beta. Le reste de l'actu Samsung présente ses lunettes connectées Galaxy : un aperçu du futur. Concours Be My Eyes. Demande de contact dans le groupe La Poste au sujet des futures serrures NFC des boites à lettre et de l'accessibilité des applications associées. La Poste dévoile une serrure connectée sécurisée pour boîte aux lettres, qui fonctionne sans électricité. Foire Aux Questions question de Jean-Marc à propos de l'accessibilité des NAS (disques dur réseau). Question de Jérémy à propos du contrôle des climatiseurs mobiles. tado°. Sensibo Sky. Sensibo Air. Retour sur et témoignage Anne-Sophie revient sur ses problèmes avec Pronote, des améliorations, et explique comment l'administration considère ses agents handicapés. Remerciements Cette semaine, nous remercions Nicolas, Francklin, Sandy et Sebastian pour leurs infos ou leur dons. Si vous souhaitez vous aussi nous envoyer de l'info ou nous soutenir : Pour nous contactez ou nous envoyez des infos, passez par le formulaire de contact sur la page oxytude.org/contact. Pour nous soutenir via Paypal, c'est sur la page paypal.me/oxytude. Pour vos achats sur Amazon, passez par notre lien affilié oxytude.org/amazon.. Pour animer cet épisode François, Philippe et Sof.

Nel terzo appuntamento di maggiOS, ci spostiamo sul sistema operativo desktop. Il prossimo aggiornamento di macOS segnerà uno spartiacque epocale: il taglio definitivo del supporto ai Mac Intel e la consacrazione totale di Apple Silicon. Ma la vera sfida per il software sarà preparare il terreno al vociferato MacBook Ultra con schermo touch. Stiamo andando verso una convergenza tra Mac e iPad o Apple rischia di creare un vero e proprio "mappazzone" di interfacce che farà scappare i power user? Riflettiamo sull'identità del Mac alla vigilia di una WWDC che non può più permettersi passi falsi.Visita Digiteee e scopri tutte le notizie sulla tecnologiaSegui Digiteee su TikTokDimmi la tua su Twitter, su Threads, su Telegram, su Mastodon, su BlueSky o su Instagram.Mail jacoporeale@yahoo.it Scopri dove ascoltare il podcast e lascia una recensione su Apple Podcast o Spotify.Ascolta An iPad guy su YouTube Podcast.Supporta il podcast

Apple has not always been known as the bargain option, but the latest Apple Silicon Macs might be changing that conversation. In this episode, the team gets into the surprising value of the M4 Mac Mini, why even a base model can be serious overkill for many voice actors, and how smaller machines like the MacBook Air and MacBook "Neo" style systems compare for remote sessions, Source Connect, Pro Tools, and travel rigs. The conversation also wanders into classic Pro Audio Suite territory, including old Macs that refuse to die, running Linux or Windows on ageing Apple hardware, right to repair, weird manufacturer lockouts, obsolete cables, Shure MV88 bargain hunting, Pro Tools archiving disasters, and why keeping your sessions self contained still matters. There is also a very important chainsaw story. Obviously. Thanks to our sponsors, Austrian Audio, making passion heard for supporting the show. 00:00 Intro and sponsor mention 00:33 Talking Macs before the show 01:20 The M4 Mac Mini and Apple's surprising value 02:29 Apple Silicon price to performance 03:38 Why older M1 machines still hold up 04:02 Using a Mac Mini as a road computer 05:22 Is the Mac Mini overkill for VO work? 06:38 MacBook Air, external monitors, and display quirks 09:04 Apple cables, chips, and control 10:04 The end of Lightning and the move to USB C 12:09 Audio interfaces on iPhone and iPad 12:30 Shure MV88 bargains for older iPhones 14:43 Right to repair 16:11 Robbo's old chainsaw story 18:21 Repair restrictions and replacement culture 19:29 Mac longevity 20:18 Running Windows on an old iMac 22:03 Linux on old Apple hardware 25:29 Old drives, CDs, DVDs, and lost archives 26:12 Mezzo and old Pro Tools backups 27:13 Missing Pro Tools audio files 28:33 Pro Tools archiving tip, sort by file path 29:54 Wrap up and credits

This is a recap of the top 10 posts on Hacker News on May 17, 2026. This podcast was generated by wondercraft.ai (00:30): Mozilla to UK regulators: VPNs are essential privacy and security toolsOriginal post: https://news.ycombinator.com/item?id=48166459&utm_source=wondercraft_ai(02:00): Security researcher says Microsoft built a Bitlocker backdoor, releases exploitOriginal post: https://news.ycombinator.com/item?id=48168856&utm_source=wondercraft_ai(03:31): I don't think AI will make your processes go fasterOriginal post: https://news.ycombinator.com/item?id=48168221&utm_source=wondercraft_ai(05:02): At least 25 Flock cameras have been destroyed in five states since April 2025Original post: https://news.ycombinator.com/item?id=48170798&utm_source=wondercraft_ai(06:33): Native all the way, until you need textOriginal post: https://news.ycombinator.com/item?id=48168058&utm_source=wondercraft_ai(08:04): AI subscriptions are a ticking time bomb for enterpriseOriginal post: https://news.ycombinator.com/item?id=48168056&utm_source=wondercraft_ai(09:35): AI is a technology not a productOriginal post: https://news.ycombinator.com/item?id=48168626&utm_source=wondercraft_ai(11:06): Apple Silicon costs more than OpenRouterOriginal post: https://news.ycombinator.com/item?id=48168198&utm_source=wondercraft_ai(12:37): I turned a $80 RK3562 Android tablet into a Debian Linux workstationOriginal post: https://news.ycombinator.com/item?id=48168668&utm_source=wondercraft_ai(14:08): WHO declares Ebola outbreak a global health emergencyOriginal post: https://news.ycombinator.com/item?id=48168708&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

  In this episode, Ray Cochrane leads with Mozilla shipping Firefox 150 with 271 patched bugs found by Anthropic’s Mythos system, the first major real-world deployment of the AlphaGo-Moment cybersecurity tooling. He also covers a 9-year dormant Linux kernel root, a college student stopping Taiwan’s high-speed rail with a software-defined radio, GitHub MCP secret scanning going GA, the NVIDIA NeMo lawsuit surviving its motion to dismiss, the Hugging Face Reachy Mini app store, Anthropic’s Auto Mode for Claude Code, and the 4-gigabyte AI model Chrome silently installed on your computer. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show with the AlphaGo Moment moving from theory into production. Mozilla shipped Firefox 150 this week with 271 patched bugs that Anthropic’s Mythos system found. Furthermore, the broader episode threads a clear pattern: AI tooling is reshaping security, developer workflows, and consumer software faster than the surrounding ecosystem can absorb it. The show closes on the four-gigabyte AI model Chrome installed on a billion machines without explicit consent. Mozilla Ships 271 Mythos Bugs in Firefox 150 Mozilla ran Anthropic’s restricted Mythos system against the Firefox 150 codebase before shipping. The result: 271 found bugs (180 high severity, 80 moderate, 11 low) baked into the release. However, the bigger number is the year-over-year jump. April 2026 shipped 423 total Firefox security fixes versus 31 a year prior. The breakdown for April: 271 from Mythos, 41 from external researchers, and 111 from other internal sources. Cochrane is sticking to his guns on calling this the AlphaGo Moment for cybersecurity. Skeptics argue Mythos is industrial-scale fuzzing because most found bugs sit in memory-safety territory. However, his counter is the velocity itself. Furthermore, he frames the resistance as carriage-versus-cars: humans-first research still grounds the tool, but throughput is the win. The Firefox CTO put it directly: defenders finally have a chance to win, decisively. For developers asking whether Mythos changes anything if they already run fuzzers, Cochrane’s answer is yes, and not even close. Additionally, he notes Mythos is restricted-access. The broadly available tier is Claude Opus 4.7, which Mozilla used since February before getting onto the restricted program for the Firefox 150 cycle. Run Opus 4.7 first. Sponsor: GoDaddy GoDaddy has been sponsoring this show for over twenty years. Economy hosting starts at $6.99/month, WordPress hosting at $12.99/month, and domains at $11.99. Use codes at geeknewscentral.com/godaddy for exclusive deals and to directly support the show. Copy Fail: 9-Year Linux Kernel Bug, 732 Bytes to Root A 9-year-old dormant Linux kernel bug got disclosed April 29 as CVE-2026-31431. Researchers published a 732-byte Python script that roots every major Linux distribution shipped since 2017. Additionally, CISA added the CVE to its Known Exploited Vulnerabilities catalog on May 1 with a May 15 federal deadline. The bug lives in the kernel’s crypto socket layer through the AF_ALG AEAD interface, originating in a 2017 in-place crypto optimization that lacked bounds checking. Cloudflare published their post-mortem this week. Their first instinct was to remove the kernel module entirely. However, service dependencies forced a workaround instead. Cloudflare resumed normal patched-kernel reboot automation across their 330-city fleet on May 4, with manual reboots and rollouts continuing after. Taiwan Rail Stopped by a 23-Year-Old With a Software-Defined Radio A 23-year-old Taiwanese university student with the surname Lin spoofed a TETRA general alarm signal on April 5, stopping trains on Taiwan’s high-speed rail. The accomplice supplied the radio parameters. Both were arrested by month-end. Lin posted NT$100,000 bail; the accomplice posted NT$80,000. The incident hit at 11:23 PM during the Qingming holiday weekend, stopping three revenue passenger trains plus one deadhead. Furthermore, the system has been in service for 19 years without rotating its cryptographic parameters once. Cochrane notes this is exactly the type of long-dormant infrastructure flaw that Mythos-class tooling catches, if anyone bothers to point it at the wires we already have. GitHub MCP Secret Scanning Goes GA GitHub’s secret scanning in the MCP server hit GA on May 5, with dependency scanning entering public preview the same day. Both released after a seven-week public preview run starting March 17. Additionally, the feature lets MCP-compatible coding agents (Copilot CLI, VS Code, JetBrains, Claude Code, Cursor, Windsurf) detect exposed secrets before commits or pull requests. Findings are ephemeral. They surface only in the current chat session and don’t persist as GitHub alerts. Sources disagree on scope: GitHub’s GA changelog says repo-level or org-level settings work, while the docs say only org-level applies. Cochrane flags the open question of whether MCP prompt injections could be exploited to send discovered secrets elsewhere. Subquadratic Debuts a 12-Million-Token Context Window Miami-based Subquadratic emerged from stealth on May 5 with a $29 million seed round and a reported $500 million valuation. Their model, SubQ 1M-Preview, runs on a new Subquadratic Sparse Attention architecture (their technical writeup calls it Selective Attention; same acronym, different second word). The headline claim: a thousand-times reduction in attention compute at 12 million tokens versus frontier models. However, that figure is vendor marketing math. There is no peer-reviewed paper, no public weights, and no independent benchmark replication. Researchers are demanding independent proof. Furthermore, CTO Alex Whedon’s pull line, “Retrieval / RAG plumbing is a waste of human intelligence,” signals how aggressively they want to position against retrieval-augmented architectures. ChatGPT Goblins, China’s “Catch You Steadily”: Sycophancy Is Universal Last week’s ChatGPT goblin obsession has a Chinese-language twin. The model overuses a phrase translating as “I will steadily catch you.” Additionally, a new Stanford and CMU study called ELEPHANT shows social sycophancy is universal across all 11 LLMs tested with 2,400-plus participants. Models endorsed users 49 percent more than humans did, and 47 percent even on harmful prompts. Alibaba’s Qwen and DeepSeek topped the rankings. Cochrane notes sycophancy is obvious once you’re aware of it but tricky to dissuade. Even with explicit instructions, longer context windows can reintroduce the behavior as the instructions get diluted. Furthermore, the trap is believing you’ve handled it. Once you think you’ve got it under control, you’re more prone to being influenced because you stopped watching for it. NVIDIA NeMo Lawsuit: Judge Tigar Denies Motion to Dismiss Three authors filed Nazemian v. NVIDIA in March 2024, alleging NVIDIA used The Pile and Books3 (approximately 196,640 pirated books) to train its NeMo AI framework. NVIDIA’s defense relied on the Sony v. Universal Betamax doctrine, arguing NeMo’s training scripts are general-purpose tools like a VCR. This week, Judge Tigar denied NVIDIA’s motion to dismiss in the Northern District of California. The headline quote: NeMo’s training scripts “have no other purpose than to speed up the process of infringement.” Furthermore, the judge rejected the VCR analogy outright. NeMo’s scripts are not general-purpose tools; they were allegedly purpose-built to ingest pirated material. Cochrane reads the Betamax framing as legal-jargon arbitrage rather than honest defense. The Humanoid Robot Market Is Smaller Than the Hype Michael Barnard at CleanTechnica argues that scenario-math against the global labor market puts realistic humanoid TAM at $200 billion to $1 trillion, not $20 trillion. Near-term wins cluster in warehouses, not homes. Additionally, the framework weighs dexterity burden against human-proximity safety burden. Real opportunities cluster where both burdens are low. Cochrane connects this to last week’s reservations about humanoids in the household. Furthermore, the risk profile is the issue: these robots aren’t prepared for every scenario, can’t make dynamic decisions, and one software update can change the definition of “safe.” Hugging Face Launches Reachy Mini App Store Hugging Face launched an open-source app store for the Reachy Mini robot this week, $299 for the Lite tethered version and $449 wireless. There are 200-plus community-built apps at launch from over 150 creators, with nearly 10,000 Reachy Minis cumulative shipped. Additionally, apps are forkable, with the default agent (ML Intern) able to modify, write, test, and ship code on any existing app. Examples at launch include an office receptionist built in under two hours, a Reachy Phone Home anti-procrastination app, baby-monitor-style apps, a cooking assistant, and a 78-year-old Joel Cohen’s voice-controlled CEO peer-group app. Pollen Robotics, the company behind Reachy, was acquired by Hugging Face on April 14, 2025. Bebop the Humanoid Robot Delays Southwest Flight 1568 A 4-foot, 70-pound humanoid robot named Bebop delayed Southwest flight 1568 from Oakland to San Diego by more than 73 minutes on April 30. The crew flagged the lithium battery as oversized. Furthermore, the battery was reportedly four times the cabin limit. Bebop belongs to Dallas-based Elite Event Robotics, which bought a full-price cabin ticket because the robot exceeded checked-baggage weight. Bebop danced for passengers at the gate before boarding. However, Southwest had Elite remove the batteries before departure, and replacements were overnighted to Chicago for the next event. Cochrane flags the obvious: batteries have always been flagged in aviation, so forgetting that with a humanoid robot in tow is a strange miss. Ouster Rev8: Native Color Lidar With Google, Volvo, Skydio Stating Intent Ouster announced the Rev8 OS Family on May 4 in San Francisco. The sensors fuse depth and color via SPAD detectors (single photon avalanche diodes) on Ouster’s custom L4 and L4 Max chips. Google, Volvo Autonomous Solutions, Skydio, Liebherr, Epiroc, and PlusAI have stated intent to adopt, though nothing is formally signed. Specs include 48-bit color, 116 dB dynamic range, and pre-fused 3D colorized point clouds. The OS1 Max gets 500-meter max detection. Available to order today and shipping this quarter, with no pricing disclosed. CEO Angus Pacala in his TechCrunch interview: “The goal is to obviate cameras. There’s no reason that one sensor can’t do both.” TagTinker Lets a Flipper Zero Mess With Electronic Shelf Labels A new Flipper Zero app called TagTinker uses infrared signals to push images and text to electronic shelf labels. Additionally, these are the same kind of price tags grocery chains are starting to use for surveillance pricing. The app and GitHub repo went public this week. Maryland’s HB 895, signed by Governor Wes Moore, takes effect October 1 as the first-in-nation surveillance pricing law. It covers food retailers and third-party food delivery service providers. Furthermore, ESLs use the same IR signaling as TV remotes with weak security. The dev’s disclaimer states it’s strictly for educational research, security curiosity, and displaying digital art on hardware you legally own. Fitbit App Becomes Google Health, Plus Fitbit Air, Plus Google Fit Sunset Google announced May 7 that the Fitbit app becomes Google Health on May 19, rolling through May 26. The launch ships with the new $99.99 Fitbit Air screenless tracker and the long-rumored Google Fit shutdown. Additionally, the four-tab interface (Today, Fitness, Sleep, Health) bundles a Gemini-powered AI Health Coach. Coach is premium-gated at $9.99/month or $99/year. Medical records integration is US-only at launch. The Fitbit Air gets up to one week of battery life and 50-meter water resistance. However, Cochrane flags conflicting privacy framing: Google’s AI summary bullets say “your data stays private,” but the actual document copy says only “committed to not using Fitbit user health and wellness data for Google Ads.” Those are not the same statement. Russinovich on Why Win32 Won and WinRT Didn’t Microsoft Azure CTO Mark Russinovich said via Microsoft Dev Docs video that Win32, the 1995 API, is still foundational to Windows 11. WinRT, the modernization replacement, “didn’t play out the way a lot of people expected.” Mostly clickbait framing per Windows Latest, but the substantive angle is real. Microsoft is pivoting back to native WinUI 3 development after years of pushing developers toward WebView2 and Electron. Additionally, Electron-based apps are known for insane RAM usage, and everyone is hurting for RAM right now. Furthermore, the bigger open question is whether Electron survives the test of time, especially with the React engine reportedly being rewritten in Rust. “Tabula Plena”: The Brain Starts Full, Not Blank A Nature Communications study from the Institute of Science and Technology Austria found that the mouse hippocampal CA3 recurrent network begins densely connected and refines through pruning. ISTA’s press release frames this as “tabula plena,” meaning full slate, counter to tabula rasa. The paper published April 21. First author Victor Vargas-Barroso and senior author Professor Peter Jonas studied mice at three developmental stages. Furthermore, the “starting overloaded enables faster sensory integration” framing is Jonas’s hypothesis from the press release, not a paper conclusion. Cochrane closes on the bigger question: did we have human growth and experience mapped wrong from the start? The Aqueous Battery You Can Pour Down the Drain A Chinese research team led by Professor Chunyi Zhi at City University of Hong Kong built an aqueous battery using a custom organic polymer electrode plus neutral magnesium and calcium salts (food-grade tofu coagulants) as electrolyte. Published in Nature Communications on February 18. Numbers to know: 120,000-plus charge cycles, full-cell energy density of 48.3 watt-hours per kilogram. That’s well below typical lithium-ion. However, post-cycling analysis showed only magnesium, calcium, chlorine, carbon, and copper, with no heavy metals. The cell complies with US RCRA, ISO 14001, and China’s GB 18599-2020 for direct environmental disposal. Additionally, the “300-plus years” framing is journalists extrapolating from the 120,000 cycles, not a paper claim. ResoNix Klippel Tests Expose Car-Audio Spec Lies Nick Apicella, founder of ResoNix Sound Solutions in Stony Point, New York, spent around $23,000 on independent Klippel LSI and TRF testing of 40 subwoofers. He published 21 results showing widespread misrepresentation of Xmax (excursion) and thermal/power-handling claims. Test data published in three batches between December 2025 and January 2026. Specifics: Wavtech thinPRO12 claimed 20 mm of excursion but delivered 8.85 mm, scoring 15 out of 100 on marketing accuracy. One driver hit 44 percent of advertised excursion. Another tripped thermal protection at half its rated power. Additionally, nine of 21 drivers scored below 50 out of 100. Brands tested include JL Audio, Sundown, Focal, Morel, Audiofrog, Adire, Stereo Integrity, and Dynaudio. Conflict-of-interest flag: ResoNix’s own GUS-15, 12, and 10 prototypes conveniently rank one, two, three. JetBrains Opens 2026 Developer Ecosystem Survey JetBrains opened the 10th annual Developer Ecosystem Survey this week. It takes about 30 minutes, with prizes including a MacBook Pro 16-inch and a $1,000 Amazon gift card. Anonymized raw data is published publicly, and cumulative scale is 100,000-plus developers across recent years. Additionally, the survey is going fully anti-AI: “evil bots, dishonest respondents, and AI agents will be excluded from prize distribution.” Cochrane is curious whether TypeScript holds its 2025 crown after knocking Python off, and whether Rust shows real growth given the wave of LLM-driven Rust rewrites in the past few months. Anthropic’s Claude Code Auto Mode Goes Live Anthropic launched Auto Mode for Claude Code roughly six weeks ago. Claude Code’s previous behavior required user approval for most file modifications and command executions, generating heavy approval-fatigue complaints during longer sessions. Auto Mode is the answer: Claude can run multi-step development tasks without per-action approval. Additionally, the architecture is a two-stage classifier, with stage one a fast yes/no filter and stage two doing chain-of-thought on flagged actions. Cochrane runs his own Claude Code in YOLO mode but with custom rejection rules baked into settings to block commands he doesn’t want, even with skip-permissions on. He recommends configuring settings as the actual policy layer rather than relying on classifier judgment alone. Furthermore, recent posts about Claude deleting websites or wiping production databases reinforce why the settings layer matters more than the auto-mode toggle. Chrome Quietly Installed a 4GB AI Model on Your Computer Google Chrome silently downloads on-device AI model weights (Gemini Nano family) to a `weights.bin` file in the OptGuideOnDeviceModel directory, around four gigabytes in Alexander Hanff’s audit. Furthermore, the model re-downloads if you delete it. Hanff timed his own install at 14 minutes 28 seconds on macOS. Affected platforms include Windows, macOS (including Apple Silicon), and Linux. Hanff frames this as a multi-front legal violation: a direct breach of Europe’s ePrivacy Directive, two articles of GDPR, and an environmental harm of a magnitude that would be notifiable under the Corporate Sustainability Reporting Directive. At one billion users, the four-gigabyte distribution represents roughly 240 gigawatt-hours of network and storage energy paired with about 60,000 tonnes of CO2-equivalent emissions. However, no EU regulator action or formal complaint has surfaced as of this episode. The model powers on-device features (email writing, scam detection, summarization, smart paste, tab grouping) but not the visible AI Mode button, which routes to the cloud. To disable, Cochrane recommends Chrome Settings, then System, then On-device AI, toggle to off. Two more paths exist via `chrome://flags` or a Windows registry edit. Cochrane closes the show with show housekeeping: GNC Insider at geeknewscentral.com/insider, email at geeknews@gmail.com, newsletter signup at geeknewscentral.com, and Pocket Casts as a solid modern podcast app pick. Have a wonderful night. The post Mozilla Meets Mythos #1864 appeared first on Geek News Central.

Sorg, Katie, and Podnar are back for AwesomeCast 778 with Apple Silicon Mac tips, Katie's hands-on thoughts on the MacBook Neo, Fortnite's Star Wars takeover, robot companions from the creator of Roomba, AI in wrestling promos, GameStop's rumored eBay bid, and a spotlight on skyscraper engineering pioneer Fazlur Khan for AAPI Month. Plus: Pittsburgh Marathon stories, Dungeon Crawler Carl audiobook talk, Chachi's Video Game Minute, and why Fortnite might secretly be every game now. Support AwesomeCast at patreon.com/awesomecast.

Sorg, Katie, and Podnar are back for AwesomeCast 778 with Apple Silicon Mac tips, Katie's hands-on thoughts on the MacBook Neo, Fortnite's Star Wars takeover, robot companions from the creator of Roomba, AI in wrestling promos, GameStop's rumored eBay bid, and a spotlight on skyscraper engineering pioneer Fazlur Khan for AAPI Month. Plus: Pittsburgh Marathon stories, Dungeon Crawler Carl audiobook talk, Chachi's Video Game Minute, and why Fortnite might secretly be every game now. Support AwesomeCast at patreon.com/awesomecast.

In this episode of Hands-On Tech, a listener asks how to properly activate Windows 11 on an Apple Silicon Mac using UTM, and whether there are other virtualization options available now that Boot Camp is no longer supported. Continue to send in your questions for Mikah to answer during the show to hot@twit.tv! Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

In this episode of Hands-On Tech, a listener asks how to properly activate Windows 11 on an Apple Silicon Mac using UTM, and whether there are other virtualization options available now that Boot Camp is no longer supported. Continue to send in your questions for Mikah to answer during the show to hot@twit.tv! Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

In this episode of Hands-On Tech, a listener asks how to properly activate Windows 11 on an Apple Silicon Mac using UTM, and whether there are other virtualization options available now that Boot Camp is no longer supported. Continue to send in your questions for Mikah to answer during the show to hot@twit.tv! Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

In this episode of Hands-On Tech, a listener asks how to properly activate Windows 11 on an Apple Silicon Mac using UTM, and whether there are other virtualization options available now that Boot Camp is no longer supported. Continue to send in your questions for Mikah to answer during the show to hot@twit.tv! Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

In this episode of Hands-On Tech, a listener asks how to properly activate Windows 11 on an Apple Silicon Mac using UTM, and whether there are other virtualization options available now that Boot Camp is no longer supported. Continue to send in your questions for Mikah to answer during the show to hot@twit.tv! Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

In this episode of Hands-On Tech, a listener asks how to properly activate Windows 11 on an Apple Silicon Mac using UTM, and whether there are other virtualization options available now that Boot Camp is no longer supported. Continue to send in your questions for Mikah to answer during the show to hot@twit.tv! Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

In this episode of Hands-On Tech, a listener asks how to properly activate Windows 11 on an Apple Silicon Mac using UTM, and whether there are other virtualization options available now that Boot Camp is no longer supported. Continue to send in your questions for Mikah to answer during the show to hot@twit.tv! Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

In this episode of Hands-On Tech, a listener asks how to properly activate Windows 11 on an Apple Silicon Mac using UTM, and whether there are other virtualization options available now that Boot Camp is no longer supported. Continue to send in your questions for Mikah to answer during the show to hot@twit.tv! Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

In this episode of Hands-On Tech, a listener asks how to properly activate Windows 11 on an Apple Silicon Mac using UTM, and whether there are other virtualization options available now that Boot Camp is no longer supported. Continue to send in your questions for Mikah to answer during the show to hot@twit.tv! Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

The Stanford AI Index's headline is 88% — organizations using AI in some capacity. The Financial Times charted where it actually lands in the workforce: 62% of top-decile earners use it daily, versus 13% at the bottom. Board decks this quarter will cite Stanford. The FT chart is what they're not showing.The economics that enabled this gap are under pressure. The three-year subsidized era is ending by financial necessity, not choice. The same optimization logic that built social media's loneliness machine is now embedded in AI products at scale. And in the same week Anthropic's most capable model autonomously found 271 zero-days in Firefox, two major platforms were breached through third-party integrations. The data and what to do about it follows.Episode 8: The Most Important Data Points in AI Right NowBrittany Hobbs solo — four segments moving from data to strategic implication. Essential for anyone making AI purchasing, hiring, or architecture decisions right now.The Stanford AI Index 2026. 88% organizational adoption is saturation, not a trend. $581 billion invested globally in 2025, up 129% year over year. The US-China AI performance gap collapsed from 17–31 percentage points in 2023 to 2.7% today — on 23 times less investment. China holds 69.7% of global AI patent filings. Architecture and application discipline closed a gap that capital alone could not. Stanford AI Index 2026 | The U.S. Can't Buy an AI LeadToken economics. Anthropic's current tiers: Haiku at $1/$5 per million input/output tokens, Sonnet at $3/$15, Opus at $5/$25. A 200-screen product built with Claude Design costs $0.22 for a first draft; the 50-iteration refinement cycle real design work requires runs to ~$2,600, plus $200–$900/month in system updates. Every comparable Figma interaction costs zero. Prompt caching provides ~90% discounts on repeated context; batch processing cuts 50%. Claude Design vs Figma cost breakdown | CNBC: Token economicsApple chose its hardware chief as next CEO. John Ternus — SVP of Hardware Engineering, architect of Apple Silicon — succeeds Tim Cook on September 1st. Johny Srouji, who designed every Apple Silicon chip, becomes Chief Hardware Officer. Apple posted $143.8 billion in Q1 FY2026 (up 16%, $109 billion in services, 92% retention) without shipping an industry-leading AI feature. The next decade of AI is decided at the silicon and device level. Apple CEO transition analysisVibe coding has never been more capable. Security has never been more exposed. Anthropic's Mythos model identified 271 zero-day vulnerabilities in Firefox autonomously; the UK's AI Security Institute found it succeeds at expert-level hacking tasks 73% of the time. Anthropic launched Project Glasswing (12 defensive security partners including Amazon, Microsoft, and Apple), then reported unauthorized Mythos access through a vendor. Vercel was breached through Context AI — customer credentials sold on BreachForums for $2 million. Lovable exposed source code and credentials via a basic authorization flaw for 48 days, fixed it, then broke it again for 76 more. TechCrunch: Anthropic Mythos | TechCrunch: Vercel breach | The Next Web: Lovable“If you're making AI decisions for your team right now — what to buy, who to hire, what to build — there are numbers out this week that should change your approach.” — Brittany HobbsListen now: Spotify | Apple Podcasts | YouTube

Tim Cook prépare sa sortie, John Ternus sera-t-il à la hauteur ? • Les lunettes numériques sont-elles l'assistant santé du futur ? • Les Tesla autonomes arrivent en Europe.Soutenu par FreePro, le meilleur de Free pour les entreprises.Avec François Sorel (BFM Business) et Bruno Guglielminetti (Mon Carnet).===============Sommaire détaillé : ===============Un tournant historique pour Apple (0:06)Nous revenons sur l'annonce majeure du mois : Tim Cook quittera la direction générale d'Apple après quinze ans à la tête du groupe, pour être remplacé par John Ternus, patron de l'ingénierie hardware. Cette transition marque la fin d'un cycle ouvert après Steve Jobs et pose une question centrale : Apple va-t-elle retrouver un souffle produit plus audacieux ? Le bilan contrasté de Tim Cook (3:22)Nous dressons le bilan d'un dirigeant qui a fait d'Apple une machine financière hors norme, en développant les services, l'écosystème et les puces Apple Silicon. Mais on s'interroge aussi sur ce qu'Apple n'a pas osé lancer sous son mandat : la voiture, la télévision, ou encore une vraie rupture comparable à l'iPhone.John Ternus, l'homme du produit (14:01)Nous analysons le profil discret de John Ternus, ingénieur maison entré chez Apple au début des années 2000. Son arrivée peut être lue comme un signal fort : Apple choisit un homme du matériel, du design et de la culture interne, plutôt qu'un profil logiciel ou services.Les lunettes numériques : objet tech de demain ? (23:12)Alors que les annonces en matière de lunettes "intelligentes" se multiplient, nous évoquons les avancées technologiques dans ce domaine. EssilorLuxottica, confirme son partenariat avec Meta sur les Ray-Ban Meta. Google relance aussi le sujet avec Gucci, tandis que Apple et Samsung sont attendus sur ce terrain. Les lunettes pourraient devenir le prochain grand wearable, mais leur poids, leur autonomie, leur style et leur acceptation sociale restent des obstacles.Des lunettes pour entendre, filmer, assister et soigner (28:46)Nous évoquons les Nuance Audio d'EssilorLuxottica, des lunettes capables d'amplifier les voix pour les personnes ayant une légère perte auditive. On explore aussi les usages possibles des lunettes intelligentes : assistance par IA, prise de vue, aide aux personnes malvoyantes, usages professionnels, mais aussi les limites liées à la caméra et à la vie privée.La santé vue par les yeux (33:41)Nous nous intéressons au virage santé d'EssilorLuxottica, qui travaille sur des capteurs intégrés aux lunettes et sur l'analyse du regard pour détecter certains signaux physiologiques. Rythme cardiaque, mouvements oculaires, signes de pathologies neurodégénératives ou métaboliques : les yeux pourraient devenir une porte d'entrée vers un check-up beaucoup plus large.Tesla ouvre la voie à la conduite autonome en Europe (47:03)Nous analysons l'autorisation accordée aux Pays-Bas à Tesla pour déployer son système FSD supervisé, une première étape importante pour l'Europe. Le dispositif reste une conduite autonome de niveau 2+, avec obligation pour le conducteur de rester vigilant, mais il pourrait accélérer l'arrivée de ces technologies dans d'autres pays européens. À lire sur Monde Numérique.Caméras contre lidar : le pari Tesla (52:13)Nous comparons l'approche de Tesla, fondée sur les caméras et l'intelligence artificielle, à celle de Waymo ou Zoox, qui s'appuient davantage sur cartographie et capteurs lidar. Le débat porte sur le réalisme du comportement routier, la capacité à généraliser à de nouveaux territoires et les limites en cas de pluie, de brouillard ou de neige.L'industrie automobile face à un basculement (59:00)Nous évoquons les hésitations de BMW, Mercedes-Benz, BYD, XPeng ou Toyota face à la montée de la conduite assistée avancée et des véhicules chinois. Au-delà de la technologie, c'est tout le modèle de mobilité qui pourrait changer, entre robotaxis, voitures partagées, autonomie des personnes âgées ou handicapées, et futurs services comme le Cybercab de Tesla.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

¿El fin de una era o el comienzo de una revolución? Esta semana el mundo tech se ha sacudido con la confirmación de que Tim Cook dejará de ser CEO de Apple en septiembre. Hacemos un repaso emocional y técnico por sus 15 años de legado: desde el abismo de Apple Maps hasta el éxito vital del Apple Watch y su última apuesta, el MacBook Neo.

The latest In Touch With iOS with Dave he is joined by Jill McKinley, Eric Bolden, Marty Jencius, Guy Serle, Ben Roethig. Apple enters a new era as Tim Cook transitions to Executive Chairman and John Ternus steps in as CEO. The panel breaks down what this means for Apple's future, alongside iOS 26.5 beta updates, Vision Pro developments, AI expansion, CarPlay upgrades, and a major phishing scam targeting Apple users. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary Episode 419 dives into one of the biggest Apple leadership changes in decades. Tim Cook announces his transition to Executive Chairman, with John Ternus taking over as CEO—marking a shift toward a more product-focused leadership style. The panel shares reactions, expectations, and concerns about how this could shape Apple's future, especially in hardware innovation and Apple Silicon. The discussion continues with updates across Apple's ecosystem. Vision Pro remains steady with incremental updates, while immersive video content continues to impress—especially new travel experiences like New York City and Switzerland. Meanwhile, iOS 26.4.2 addresses critical security vulnerabilities, reinforcing Apple's ongoing focus on privacy. Beta season rolls on with iOS 26.5 and macOS 26.5 showing minimal visible changes but continued work on encryption, stability, and under-the-hood improvements. CarPlay sees meaningful enhancements, including sports widgets and AI integrations, signaling Apple's push toward smarter in-car experiences. AI continues to dominate the conversation. Apple's collaboration with Google and ongoing AI developments hint at a more powerful and personalized Siri experience in the future. The panel also explores new AI tools for image creation, coding, and workflow automation. Security takes center stage with a sophisticated phishing scam targeting Apple users, highlighting the importance of vigilance and best practices. Finally, the episode wraps with discussion around Apple's evolving pricing strategy, making the ecosystem more accessible than ever, and updates on Macstock X. Breaking News Tim Cook to step down and become Executive Chairman. John Turnus transition to CEO.  Tim Cook to become Apple Executive Chairman John Ternus to become Apple CEO - Apple Community Letter from Tim - Apple Johny Srouji named Apple's Chief Hardware Officer That was Tim, this is Ternus: Some first thoughts on Apple's CEO transition – Six Colors Tim Cook Says He's 'Healthy,' Plans to Remain at Apple 'for a Long Time' Apple Teases 'Incredible Road Map Ahead' Topics and Links In Touch With Vision Pro this week.  visionOS 26.5 Beta 3 Release Notes Apple Takes Vision Pro Users to New York City in New 'Elevated' Immersive Video Beta this week.  iOS 26.4.2 updated 2 week after 26.4.1 Apple Releases iOS 26.4.2 and iPadOS 26.4.2 With Bug Fixes  iOS 26.4.2 and iOS 18.7.8 Address Notification Privacy Flaw Highlighted by FBI Case iOS 26.4.2 Patches Flaw That Let FBI Extract Deleted Signal Messages Apple releases iOS 26.5 beta 3 for iPhone Apple releases beta 3 for iPadOS 26.5, watchOS 26.5, and more  iOS 26.5 Hidden Changes Bring a Smarter Beta 3 Update Here's What's New in iOS 26.5 So Far In Touch With Mac this week macOS 26.5 beta 3 now available, here's what to expect  Unless you reboot every once in a while, your Mac will get kicked offline every 49 days Apple releases GarageBand For Mac update, here's what's new Other Topics CarPlay just got even better with three exciting recent app updates Apple Sports now works with CarPlay, here's how to set up Paul McCartney shares behind-the-scenes video of Apple Park concert  OpenAI Launches ChatGPT Images 2.0 With Thinking Capabilities and Better Text Rendering OpenAI upgrades ChatGPT and Codex with GPT-5.5: 'a new class of intelligence for real work' -  A Full Apple Ecosystem Now Costs Less Than a MacBook Pro News Google Confirms Gemini-Powered Siri Coming Later This Year New iPhone phishing scam involves email sent from Apple servers Apple removes old Pages, Numbers, and Keynote apps from Mac App Store PSA: Automatic Software Update Enables Itself with MacOS Tahoe 26.4 & iOS 26.4 Announcements Macstock X is here celebrating its 10th anniversary ! Dave, Chuck, Jeff, Marty, and Jill are all speaking this year!. With Three Full Days of expert-led Presentations and Workshops, Macstock's sessions are crammed full of productivity-enhancing content. NEW this year is a partnership with sponsor Ecamm. Ecamm Creator Camp: Mac Edition on July 9, 2026 there are only 100 tickets available for the bundle. There are 2 passes available: Macstock weekend pass July 10,11,12, 2026 or the Macstock Ecamm Bundle starting July 9 (only 100 tickets available)  Come join us. Register HERE and use our offer code INTOUCH to save $50 Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastodon @daveg65, , BlueSky @daveg65  and the show @intouchwithios   Our Regular Contributors Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on Mastadon @jgamet Pixelfed @jgamet@pixelfed.social and Bluesky @jgamet.bsky.social‬ Podcasts The Context Machine Podcast  Retro Rewatch Retro Rewatch His YouTube channel https://youtube.com/jgamet Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and Circular Firing Squad Podcast. Find him at jencius@mastodon.social  https://thepodtalk.net  Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him by email at eabolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast.   Jill McKinley works in enterprise software, server administration, and IT A lifelong tech enthusiast, she started her career with Windows but is now an avid Apple fan. Beyond technology, she shares her insights on nature, faith, and personal growth through her podcasts—Buzz Blossom & Squeak, Start with Small Steps, and The Bible in Small Steps. Watch her content on YouTube at @startwithsmallsteps and follow her on X @schmern. Find all her work at http://jillfromthenorthwoods.com  Chuck Joiner is the host of MacVoices and hosts video podcasts with influential members of the Apple community. Make sure to visit macvoices.com and subscribe to his podcast. You can follow him on Twitter @chuckjoiner and join his MacVoices Facebook group. Guy Serle is one of the hosts of the new The Gmen Show along with GazMaz and email GMenshow@icloud.com  @MacParrot and @VertShark on X  Vertshark on YouTube, Google Voice +1 Area code  703-828-4677

Tim Cook quitte la direction d'Apple et passe le relais à John Ternus • OpenAI dégaine un nouveau modèle d'images surpuissant • Une boutique 100 % gérée par une IA ouvre à San Francisco • La Chine impressionne avec un semi-marathon de robots humanoïdes • Google injecte de l'IA dans sa suite bureautique.⭐️ [Annonce] : découvrez Frogans : l'innovation française qui réinvente le Web===============Sommaire détaillé : ===============Apple : Tim Cook passe la main à John Ternus (03:11)C'est une page majeure qui se tourne chez Apple. Après quinze ans à la tête du groupe, Tim Cook quitte son poste de CEO et devient président exécutif, laissant les rênes à John Ternus, actuel responsable produits. Une transition en douceur pour l'entreprise valorisée près de 4 000 milliards de dollars, qui devra désormais relever les défis de l'intelligence artificielle et préparer l'après-iPhone. Au-delà du symbole, l'héritage de Tim Cook est considérable : montée en puissance des services, succès de l'Apple Watch et surtout virage stratégique vers les puces maison Apple Silicon, qui placent aujourd'hui la firme en position favorable dans la course à l'IA. Reste à savoir comment John Ternus imprimera sa marque.OpenAI muscle son jeu avec GPT-5.5 et ChatGPT Image 2.0 (05:44)OpenAI frappe fort avec GPT-5.5, nouvelle version de son grand modèle de langage, plus rapide, plus performant mais aussi plus cher, destiné aux abonnés payants et aux entreprises via API. L'objectif est clair : reprendre l'avantage face à Google et Anthropic dans une compétition devenue féroce. En parallèle, le nouveau modèle de génération d'images ChatGPT Image 2.0 impressionne par son réalisme et sa capacité à produire du texte fiable dans de nombreuses langues. Intégré à Codex pour les développeurs, il ouvre des perspectives créatives considérables… tout en soulevant des risques accrus d'usages frauduleux.DeepSeek V4 et le réveil chinois de l'IA (08:06)La Chine n'est pas en reste avec la sortie de DeepSeek V4, modèle open source décliné en version Pro et Flash, aux capacités agentiques renforcées. Depuis son irruption en 2025, DeepSeek bouscule le marché en affichant des performances comparables aux leaders américains avec des ressources optimisées. Selon le baromètre annuel de l'université Stanford, la Chine talonne désormais les États-Unis tandis que la France ne place qu'un seul modèle dans le haut du classement, signé Mistral AI. Les écarts d'investissement restent abyssaux, illustrant un décrochage européen préoccupant.Andon Market : la boutique créée par une IA (10:25)À San Francisco, sur Union Street, une petite échoppe baptisée Endowment Market intrigue : concept, bail commercial, commandes fournisseurs, site web… tout a été orchestré par une IA nommée Luna, dotée d'un budget initial de 100 000 dollars. Derrière l'expérience, la start-up Andon Labs teste une idée radicale : une intelligence artificielle peut-elle créer et gérer un commerce rentable dans le monde réel ? Si des humains assurent la vente en magasin, l'initiative pose une question vertigineuse sur l'autonomie économique des machines.Meta surveille ses employés pour entraîner ses IA (12:36)Chez Meta, un programme baptisé “Model Capability Initiative” installe des outils de suivi sur les postes de travail afin de collecter des données comportementales destinées à l'entraînement des modèles d'IA. Officiellement conçue pour améliorer les performances des systèmes, la démarche suscite des inquiétudes en interne, sur fond de licenciements. Jusqu'où peut-on aller dans la captation des données des salariés au nom de l'innovation ?Cyberattaques : l'ANTS piratée, un hacker arrêté (14:02)Nouvelle alerte en France avec le piratage de l'Agence nationale des titres sécurisés (ANTS). Un hacker affirme détenir 19 millions d'enregistrements comprenant des données d'état civil, désormais proposées à la vente sur le darknet. Une enquête est ouverte et la CNIL a été saisie. Dans le même temps, un pirate présumé de 21 ans, connu sous le pseudonyme Hexdec, a été interpellé en Vendée. Soupçonné d'être lié à plusieurs attaques majeures, il avait récemment revendiqué ses actes dans une interview, assumant agir uniquement pour l'argent.Health Data Hub : cap sur un hébergeur français (16:41)Le Health Data Hub ne sera finalement pas hébergé par Microsoft. Après polémique autour des risques liés au Cloud Act américain, le gouvernement confie l'infrastructure à Scaleway, filiale du groupe Iliad. La migration prévue fin 2026 marque un tournant stratégique vers une souveraineté numérique renforcée pour cette plateforme destinée à soutenir la recherche en santé grâce à l'IA.Google et l'entreprise agentique (43:04)À Las Vegas, lors de Cloud Next 2026, Google a présenté sa vision de “l'entreprise agentique”. Objectif : déployer des agents IA capables d'automatiser tâches répétitives, réponses à appels d'offres, analyses de données ou gestion RH. Dans Google Workspace, l'IA Gemini devient transversale et proactive, capable de synthétiser agenda, mails et documents pour assister l'utilisateur. Pour les entreprises, une marketplace d'agents et des outils de gouvernance promettent d'encadrer cette nouvelle génération d'assistants intelligents

Apple's leadership is about to change, with Tim Cook stepping down as CEO after 15 years. Steven Scott and Shaun Preece break down what this means for Apple, the rise of John Ternus, and how the company might navigate AI, privacy, and hardware innovation next. Plus, hands-free accessibility gets a boost with Aira now available on Meta smart glasses. In this episode, Steven and Shaun share breaking news that Tim Cook will step down as Apple's CEO on 1 September, transitioning to the role of Executive Chairman. They explore John Ternus's journey to becoming the new CEO, his reputation for decisive leadership, and his influence on projects like Apple Silicon and the MacBook Neo. The conversation dives into Apple's approach to AI, privacy, and the challenges of on-device large language models versus cloud-based solutions. The guys also cover the launch of Aira for Meta smart glasses, unlocking hands-free navigation and visual assistance for blind and low vision users. Listener Gordon shares his early experience with the new integration, while the hosts discuss practical quirks, like phone locking and camera switching, and the future potential of wearables in accessibility. There's also an interview with Shanell Matos from Right-Hear, explaining how their beacon and marker technology brings real-time orientation to public spaces. Relevant Links Right-Hear: https://right-hear.com Aira: https://aira.io ----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/linkedinSubscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheartAbout 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.

Après quinze ans à la tête d'Apple, Tim Cook prépare son départ de la direction opérationnelle et transmettra le relais à John Ternus le 1er septembre 2026. Cette succession, longuement anticipée, ouvre un nouveau chapitre pour la marque à la pomme à l'heure où l'innovation produit et l'intelligence artificielle sont plus scrutées que jamais.Fin d'une ère chez AppleApple a officialisé le 20 avril 2026 la nomination de John Ternus comme prochain CEO, tandis que Tim Cook deviendra executive chairman à compter du 1er septembre. Une transition préparée de longue date, qui confirme la fin d'un cycle entamé en 2011 après Steve Jobs. Sous la direction de Tim Cook, Apple a changé d'échelle. L'entreprise a consolidé son modèle industriel, renforcé sa maîtrise logistique, accéléré son virage vers les services et fait de son écosystème un ensemble toujours plus intégré, porté notamment par Apple Silicon et par des produits comme l'Apple Watch, les AirPods ou l'Apple Vision Pro. Le bilan Tim CookTim Cook n'a jamais cherché à imiter Steve Jobs. Son apport aura été ailleurs : industrialiser l'héritage, optimiser la chaîne d'approvisionnement, rendre les lancements mondiaux plus fluides et faire d'Apple une machine redoutablement efficace, capable de vendre peu de références avec une forte valeur ajoutée. La valorisation du groupe a ainsi dépassé les 4 000 milliards de dollars au moment de l'annonce de sa succession. Cette période aura aussi été marquée par la montée en puissance des services, l'intégration verticale du matériel et des puces maison, et une stratégie produit centrée sur la cohérence de l'écosystème plutôt que sur les ruptures spectaculaires. Un angle déjà abordé dans cet article de Monde Numérique sur la succession chez Apple.Qui est John Ternus ?Âgé de 50 ans, diplômé en génie mécanique de l'université de Pennsylvanie, John Ternus a rejoint Apple en 2001 après un passage chez Virtual Research Systems. Figure discrète du groupe, il dirigeait l'ingénierie matérielle depuis 2021 et a supervisé le développement de produits majeurs comme l'iPhone, l'iPad, le Mac, l'Apple Watch, les AirPods et l'Apple Vision Pro. Apple met en avant chez lui une forte culture produit, un rôle clé dans la robustesse et la durabilité des appareils, ainsi qu'une contribution majeure à la stratégie maison autour des composants et du matériel. Le même jour que l'annonce de sa nomination, Johny Srouji a d'ailleurs été promu chief hardware officer pour reprendre le périmètre qu'occupait Ternus.Les défis de la suiteJohn Ternus hérite d'une entreprise en excellente santé, mais confrontée à une pression nouvelle. Apple reste au sommet, tout en faisant face à des attentes immenses sur l'intelligence artificielle, sur la prochaine grande rupture produit, et sur sa capacité à maintenir son avance dans un marché technologique plus concurrentiel. Parmi les signaux récents, le lancement du MacBook Neo montre qu'Apple continue d'explorer de nouveaux positionnements matériels, y compris plus accessibles. Le vrai test pour Ternus sera désormais de transformer une excellence industrielle en nouveau récit d'innovation.Sur Monde Numérique également : Les 50 ans d'AppleHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Sun, 19 Apr 2026 15:00:00 GMT http://relay.fm/mpu/845 http://relay.fm/mpu/845 Intentional Technology with Patrick Rhone 845 David Sparks and Stephen Robles Patrick Rhone returns. The gang discusses Apple Silicon rewriting the Mac upgrade cycle, the Apple Refurb Store, and minimalist phones. Patrick Rhone returns. The gang discusses Apple Silicon rewriting the Mac upgrade cycle, the Apple Refurb Store, and minimalist phones. clean 4775 Patrick Rhone returns. The gang discusses Apple Silicon rewriting the Mac upgrade cycle, the Apple Refurb Store, and minimalist phones. This episode of Mac Power Users is sponsored by: Ecamm: Powerful live streaming platform for Mac. NerdWallet: Compare real financing offers from trusted lenders — all in one place. Get VIP treatment using this link. 1Password: Never forget a password again. Guest Starring: Patrick Rhone Links and Show Notes: Credits The Mac Power Users Stephen Robles David Sparks The Editor Jim Metzendorf The Fixer Kerry Provanzano More Power Users: Ad-free episodes with regular bonus segments Submit Feedback MPU 845 on YouTube Patrick Rhone – Master Generalist enough – Patrick Rhone Minimal Mac | iPad First Impressions The Dash/Plus System – Rhoneisms I Deleted My Second Brain | Medium Patrick Rhone (@patrickrhone) • Instagram photos and videos Certified Refurbished Products - Apple The Light Phone | The Light Phone The Minimal Company | Live More, Scroll Less. Brick — Take Back Control of Your Screen Time – Brick LLC Calendar App for Mac and iPhone with Tasks and Smart Filters | BusyCal | BusyCal & BusyContacts Now Software - Wikipedia Timex Sinclair 1000 - Wikipedia Macintosh Color Classic - Wikipedia The Anxious Generation — from a book to a movement Stillness Is The Key: Pre-Order Bonuses - RyanHoliday.net DuckDuckGo - Protection. Privacy. Peace of mind. Watch Movies and TV Shows Free Online - Plex Set up YouTube Kids Welcome to Sarah Lawrence College Shop I

Sun, 19 Apr 2026 15:00:00 GMT http://relay.fm/mpu/845 http://relay.fm/mpu/845 David Sparks and Stephen Robles Patrick Rhone returns. The gang discusses Apple Silicon rewriting the Mac upgrade cycle, the Apple Refurb Store, and minimalist phones. Patrick Rhone returns. The gang discusses Apple Silicon rewriting the Mac upgrade cycle, the Apple Refurb Store, and minimalist phones. clean 4775 Patrick Rhone returns. The gang discusses Apple Silicon rewriting the Mac upgrade cycle, the Apple Refurb Store, and minimalist phones. This episode of Mac Power Users is sponsored by: Ecamm: Powerful live streaming platform for Mac. NerdWallet: Compare real financing offers from trusted lenders — all in one place. Get VIP treatment using this link. 1Password: Never forget a password again. Guest Starring: Patrick Rhone Links and Show Notes: Credits The Mac Power Users Stephen Robles David Sparks The Editor Jim Metzendorf The Fixer Kerry Provanzano More Power Users: Ad-free episodes with regular bonus segments Submit Feedback MPU 845 on YouTube Patrick Rhone – Master Generalist enough – Patrick Rhone Minimal Mac | iPad First Impressions The Dash/Plus System – Rhoneisms I Deleted My Second Brain | Medium Patrick Rhone (@patrickrhone) • Instagram photos and videos Certified Refurbished Products - Apple The Light Phone | The Light Phone The Minimal Company | Live More, Scroll Less. Brick — Take Back Control of Your Screen Time – Brick LLC Calendar App for Mac and iPhone with Tasks and Smart Filters | BusyCal | BusyCal & BusyContacts Now Software - Wikipedia Timex Sinclair 1000 - Wikipedia Macintosh Color Classic - Wikipedia The Anxious Generation — from a book to a movement Stillness Is The Key: Pre-Order Bonuses - RyanHoliday.net DuckDuckGo - Protection. Privacy. Peace of mind. Watch Movies and TV Shows Free Online - Plex Set up YouTube Kids Welcome to Sarah Lawrence College

Sometimes an episode of AwesomeCast really shows the full range of what makes the show fun. Episode 775 goes from the emotional high of a successful Artemis 2 splashdown all the way to the absurd joy of seeing someone force macOS onto an original Nintendo Wii. Sorg and Podnar open with one of the week's best feel-good tech stories: Artemis 2 made it home successfully, and Dave shares the unexpectedly charming story of the mission mascot RISE. In a week that needed some good news, the conversation lands on something larger than space hardware alone. This was about optimism, engineering, and a rare moment of collective excitement.  Then the show pivots back to Earth with the kind of story that feels custom-made for AwesomeCast: yes, someone got early Mac OS X running on a Nintendo Wii. It is not practical. It is not necessary. It is absolutely wonderful. That same spirit carries into Sorg's hands-on experiment with Mythic, a tool aimed at helping M-series Mac users access Windows games through the Epic ecosystem. The conversation explores how much better Apple Silicon has become for compatibility, even if some rough edges still show up in real-world testing.  A big chunk of the episode also digs into Amazon Luna's latest changes. Sorg reacts to the platform ending game purchases and outside store access, and the discussion quickly becomes about more than Luna itself. It becomes a conversation about trust in digital platforms, cloud gaming ownership, and what happens when convenience gets taken away after users have already bought in. It is one of the sharpest segments in the episode because it blends personal use with a bigger industry trend.  There is also a lighter side this week. Dave shares The Weather Channel's retro weather experience, which sends both hosts into a funny and surprisingly thoughtful conversation about the old cable era, nostalgic interfaces, and how channels drift from their original purpose. On the more practical side, they also touch on Overcast's new transcript support and Waymo's plan to help cities identify potholes using vehicle data. That latter topic turns into a very Pittsburgh-flavored discussion about 311 systems, local government tech, and whether cities are really taking advantage of the tools they have. Finally, Dave closes with his Arab American History Month spotlight on Tony Fadell, best known for his work on the iPod and Nest. It is a fitting end to an episode that is really about the many layers of tech: breakthrough engineering, strange experimentation, product design, infrastructure, nostalgia, and how all of it shapes everyday life.  Links from this episode: Artemis / RISE: https://www.space.com/space-exploration/artemis/how-artemis-2-commander-reid-wiseman-saved-the-missions-moon-mascot-its-hard-not-to-love-this-little-guy-i-cant-let-rise-out-of-my-sight macOS on Wii: https://apple.news/AJdU3eghQT2-jfhrGvzI2_g Mythic: https://getmythic.app/ Amazon Luna: https://www.ign.com/articles/amazon-luna-will-no-longer-allow-owners-to-buy-games-access-game-stores-or-third-party-subscriptions-starting-today?utm_campaign=trueAnthem%3A+Manual&utm_medium=trueAnthem&utm_source=facebook Amazon Luna alt link: https://apple.news/A2cb25SwgQX-AuvSPHdRsHw Waymo potholes: https://apple.news/AnxW6o9QWQJOcCGLqCsW6XQ Overcast transcripts: https://9to5mac.com/2026/04/08/overcast-launches-podcast-transcripts-in-new-app-update-for-iphone/ Retro Weather Channel: https://weather.com/retro/ Tony Fadell: https://design.mit.edu/community/people/tony-fadell Subscribe for more tech talk from Pittsburgh and support the show at Patreon.

In this special episode 417 of In Touch With iOS, host Dave Ginsburg sits down with tech journalist and author David Pogue to discuss his book Apple: The First 50 Years. Joined by Jeff Gamet and Marty Jencius, the panel explores Apple's history, iconic products, Vision Pro, and the future of the iPhone and iPad in an engaging deep-dive conversation. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X   Summary This special edition of In Touch With iOS features an in-depth conversation with renowned tech journalist and author David Pogue, centered around his book Apple: The First 50 Years. Alongside co-hosts Jeff Gamet and Marty Jencius, the discussion dives deep into Apple's evolution—from its early innovations and turbulent "dark years" to its modern dominance across the tech landscape. David shares insights into the inspiration behind the book, including rare access to Apple engineers and archives, and explains his product-focused storytelling approach that sets this work apart from traditional business histories. The conversation explores Apple's most pivotal moments, including the impact of the PowerBook, the return of Steve Jobs, and how Apple's loyal user community helped shape its identity. The panel also discusses modern Apple products like the Vision Pro, examining its role as both an experimental platform and a glimpse into the future of spatial computing. The panel, joined by David Pogue, highlighted the MacBook Neo as a major shift in Apple's strategy. In his recent article, Pogue describes it as a "gateway Mac," designed to bring new users into the Apple ecosystem. With a price around $500–$600, the Neo breaks from Apple's premium tradition, making the Mac more accessible to students, first-time users, and even enterprise environments. Despite the lower cost, it delivers strong performance thanks to Apple Silicon, handling everyday tasks and even demanding workflows like video editing. The discussion emphasized how Apple is leveraging its services ecosystem to support this model, using the Neo to drive long-term growth rather than just hardware profit. It may also change buying habits, with users opting for a desktop Mac plus a Neo instead of a single high-end laptop. Here is David Pogue's article on Macbook Neo: MacBook Neo: 90% of the Laptop, 54% of the Price Shifting to today's ecosystem, the group analyzes the evolution of the iPhone, the changing role of the iPad, and how Apple's innovation strategy has moved from groundbreaking hardware to services and software integration. The episode wraps with reflections on Apple's enduring impact, the strength of its community, and excitement around upcoming events like Macstock—making this a must-listen for any Apple enthusiast. Announcements We're thrilled to share that David Pogue is joining the Macstock conference—and not just for a session, but for a very special Friday night event David Pogue is going to join us Friday night at Macstock for "An Evening with David Pogue", a lively show taking us through the first 50 years of Apple with original music, including his new song parody, "Clap Along", some video, and a little Q&A! (on the live stream David referred to it as Apple the Musical  Macstock X is here celebrating its 10th anniversary With Three Full Days of expert-led Presentations and Workshops, Macstock's sessions are crammed full of productivity-enhancing content. NEW this year is a partnership with sponsor Ecamm. Ecamm Creator Camp: Mac Edition on July 9, 2026 there are only 100 tickets available for the bundle. There are 2 passes available: Macstock weekend pass July 10,11,12, 2026 or the Macstock Ecamm Bundle starting July 9 (only 100 tickets available)  Come join us. Register HEREOur Host Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastodon @daveg65, , BlueSky @daveg65  and the show @intouchwithios   Our Special Guest David Pogue is a bestselling author, Emmy-winning technology correspondent, and longtime consumer tech expert. He gained prominence as a columnist for The New York Times, where he wrote the popular "State of the Art" column, and later became a correspondent for CBS News. Pogue has authored or co-authored dozens of books, including the well-known "Missing Manual" series, and is recognized for making complex technology accessible, practical, and often humorous for everyday users. Find hin at https://davidpogue.com Our Co-Hosts Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on  Mastadon @jgamet Pixelfed @jgamet@pixelfed.social and Bluesky @jgamet.bsky.social‬ Podcasts The Context Machine Podcast  Retro Rewatch Retro Rewatch His YouTube channel https://youtube.com/jgamet Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and many others. Check his website at https://thepodtalk.net Social Media:  jencius@mastodon.social

After a stretch away from the mic with NAMM coverage and a few product launches in the interim, Philip Rothman and David MacDonald return for an episode that, as David puts it, is “delightfully very nerdy.” To kick things off, David turns the tables and puts Philip in the interview seat, asking him about two significant sets of releases from Notation Central and NYC Music Services. On the Notation Express side, the big news is two-way communication between Dorico and the Stream Deck: buttons now light up to reflect what Dorico is actually doing in real time — active note durations, engaged accidentals and articulations, current mode, playback state, and more. Philip also walks through the new Note Tools folder, which lets users chain up to four buttons together to build a complete transposition or interval command before executing it in one shot, and touches on the Notation Express Keypad and the Virtual Stream Deck. The PDF Batch Utilities get equal time: native Apple Silicon builds that launch ten times faster, codesigning and notarization, source PDF info shown right in the file list, bookmarks in stitched output, smarter handling of one- and two-page files, and a brand-new fifth app — PDF-Counter — that drops a page-count CSV into any folder you throw at it. For the second half, Philip asks David about the utility apps that have quietly become indispensable in his day-to-day work. David talks through Dropzone, a Mac menu-bar app that makes dragging files to frequently-needed folders — or AirDrop, or a terminal window — almost frictionless, and Alfred, the customizable launcher he’s built out with custom searches (including a dedicated IMSLP search), file navigation shortcuts, and a direct line to his task manager. From there, the conversation turns back to the notation software itself, with a look at two features that deserve more attention than they get: Dorico’s Jump Bar and Sibelius’s Command Search, both of which let you find and fire any command just by typing for it.  Where might those tools go next, and what it would mean for notation software to understand what you’re asking for, not just what you typed? Products mentioned Notation Central / NYC Music Services Notation Express PDF Batch Utilities Stream Deck Elgato Stream Deck Virtual Stream Deck Stream Deck Mobile Mac utilities discussed by David Dropzone (Aptonic Software) Alfred Raycast (mentioned as alternative to Alfred) LaunchBar (mentioned as alternative to Alfred) Hazel (mentioned in context of Dropzone) Things (mentioned as David’s to-do app, integrated with Alfred) Other references IMSLP (Petrucci Music Library) (David’s custom Alfred search) Previous Scoring Notes posts and podcast episodes Directly mentioned or closely related: Notation Express for Dorico 6: Your Stream Deck just got smarter PDF Batch Utilities get a major rebuild — and a brand new app Notation Express: Stream Deck profile for Sibelius (the original 2019 launch) Boost your workflow: a Stream Deck review (Dan Kreider’s 2018 review of the Stream Deck, pre-Notation Express) Quickly scale many PDFs with PDF-BatchScale (the original launch) PDF-MusicBinder and PDF-BatchStitch utilities for music printing Chronology of a perfect music printing job How to tape and fold pages for parts: a video tutorial (accordion-style printing) Calibrating printers and workflows NAMM 2026: On the scene (and related NAMM 2026 coverage, including the happy hour) Forthcoming (mentioned in the episode): Virtual Stream Deck article

Fresh off raising a monster $15B, Marc Andreessen has lived through multiple computing platform shifts firsthand, from Mosaic and Netscape to cofounding A16z. In this episode, Marc joins swyx and Alessio in a16z's legendary Sand Hill Road office to argue that AI is not just another hype cycle, but the payoff of an “80-year overnight success”: from neural nets and expert systems to transformers, reasoning models, coding, agents, and recursive self-improvement. He lays out why he thinks this moment is different, why AI is finally escaping the old boom-bust pattern, and why the real bottleneck may be less about models than about the messy institutions, incentives, and social systems that struggle to absorb technological change.This episode was a dream come true for us, and many thanks to Erik Torenberg for the assist in setting this up. Full episode on YouTube!We discuss:* Marc's long view on AI: from the 1980s AI boom and expert systems to AlexNet, transformers, and why he sees today's moment as the culmination of decades of compounding technical progress* Why “this time is different”: the jump from LLMs to reasoning, coding, agents, and recursive self-improvement, and why Marc thinks these breakthroughs make AI real in a way prior cycles were not* AI winters vs. “80-year overnight success”: why the field repeatedly swings between utopianism and doom, and why Marc thinks the underlying researchers were mostly right even when the timelines were wrong* Scaling laws, Moore's Law, and what to build: why he believes AI scaling laws will continue, why the outside world is messier than lab purists assume, and how startups can still create durable value on top of rapidly improving models* The dot-com crash and AI infrastructure risk: Marc's comparison between today's AI capex boom and the fiber/data-center overbuild of 2000, plus why he thinks this cycle is different because the buyers are huge cash-rich incumbents and demand is already here* Why old NVIDIA chips may be getting more valuable: the pace of software progress, chronic capacity shortages, and the idea that even current models are “sandbagged” by supply constraints* Open source, edge inference, and the chip bottleneck: why Marc thinks local models, Apple Silicon, privacy, trust, and economics all point toward a major role for edge AI* American vs. Chinese open source AI: DeepSeek as a “gift to the world,” why open models matter not just because they're free but because they teach the world how things work, and how open source strategies may shift as the market consolidates* Why Pi and OpenClaw matter so much: Marc's claim that the combination of LLM + shell + filesystem + markdown + cron loop is one of the biggest software architecture breakthroughs in decades* Agents as the new “Unix”: how agent state living in files allows portability across models and runtimes, and why self-modifying agents that can extend themselves may redefine what software even is* The future of coding and programming languages: why Marc thinks software becomes abundant, why bots may translate freely across languages, and why “programming language” itself may stop being a salient concept* Browsers, protocols, and human readability: lessons from Mosaic and the web, why text protocols and “view source” mattered, and how similar principles may shape AI-native systems* Real-world OpenClaw use: health dashboards, sleep monitoring, smart homes, rewriting firmware on robot dogs, and why the most aggressive users are discovering both the power and danger of agents first* Proof of human vs. proof of bot: why Marc thinks the internet's bot problem is now unsolvable via detection alone, and why biometric + cryptographic proof of human becomes necessaryTimestamps* 00:00 Marc on AI's “80-Year Overnight Success”* 00:01 A Quick Message From swyx* 01:44 Inside a16z With Marc Andreessen* 02:13 The Truth About a16z's AI Pivot* 03:29 Why This AI Boom Is Not Like 2016* 06:33 Marc on AI Winters, Hype Cycles, and What's Different Now* 10:09 Reasoning, Coding, Agents, and the New AI Breakthroughs* 12:13 What Founders Should Build as Models Keep Improving* 16:33 AI Capex, GPU Shortages, and the Dot-Com Crash Analogy* 24:54 Open Source AI, Edge Inference, and Why It Matters* 33:03 Why OpenClaw and PI Could Change Software Forever* 41:37 Agents, the End of Interfaces, and Software for Bots* 46:47 Do Programming Languages Even Have a Future?* 54:19 AI Agents Need Money: Payments, Crypto, and Stablecoins* 56:59 Proof of Human, Internet Bots, and the Drone Problem* 01:06:12 AI, Management, and the Return of Founder-Led Companies* 01:12:23 Why the Real Economy May Resist AI Longer Than Expected* 01:15:53 Closing ThoughtsTranscriptMarc: Something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic. Having said that, I think what's actually happened is an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years where that was controversial. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right?Which is like, it's an overnight success ‘cause it's like bam, you know, chat GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.If I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough.swyx: Before we get into today's episode, I just have a small message for listeners. Thank you. We will not be able to bring you the ai, engineering, science, and entertainment contents that you so clearly want if you didn't choose to also click in and tune into our content.We've been approached by sponsors on an almost daily basis, but fortunately enough of you actually subscribed to us to keep all this sustainable without ads, and we wanna keep it that way. But I just have one favor to ask all of you. The single, most powerful, completely free thing you can do is to click that subscribe button.It's the only thing I'll ever ask of you, and it means absolutely everything to me and my team that works so hard to bring the in space to you each and every week. If you do it, I promise you will never stop working to make the show even better. Now, let's get into it.Alessio: Hey everyone, welcome to the Lidian Space Pockets. This is CIO, founder Kernel Labs, and I'm joined by s Swix, editor of Lidian Space.swyx: Hello. And we're in a 16 Z with a, uh, mark G and welcome.Marc: Yes, yes. A and what, half of 16? Something like that. A one. Exactly,swyx: exactly. Uh, apparently this is the, the final few days in your, your current office.You're moving across the road.Marc: Uh, we're, yeah. We have a, we have some, we have some projects underway, but yeah, this is actually, oh, this is the original. We're in actually the original office. We're in the, we're in the, we're, we're in the whole thing.swyx: It's beautiful. Yeah. Great.Marc: Thank you.swyx: So I have to come out, uh, this is a, you know, I wanted to pick a spicy start in October, 2022.I just made friends with Roone and, uh, I wanted to give him something to sort of be spicy about. And I said, uh. Uh, it'll never not be funny. The A 16 Z was constantly going. The future is where the smart people choose to spend their time and then going deep into crypto and not in ai. And that was in October 22nd, 2022.And Ruen says there was an internal meeting in a 16 Z to reorient around Gen ai. Obviously you have, but was there a meeting? What, what was that?Marc: I mean, I don't, look, I've been doing AI since the late eighties.swyx: Yeah.Marc: So I, I don't know, like all that, as far as I'm concerned, this stuff is all Johnny cum lately.Yeah. You, I mean, look, we've been doing ar entire existence. I mean, we've been doing AI machine learning deep, you know, deeply. We've been doing this stuff way from the beginning. Obviously a AI is just core to computer science. I, I, I actually view them as like quite, uh, quite continuous. Um, you know, Ben and I both have computer science degrees.Um, you know, we, we both, Ben, Ben and I actually both are world enough to remember the actual AI boom in the 1980s. Yeah. There was like a, there was a big AI boom at the time. Um, and there was a, was names like expert systems. Um, and they of like lisp and lisp machines. Uh, I, I coded in lisp. I was coding a lisp in 1989.When that was the, the language of the AI future. Um, yeah. So this is something that we're like completely, you completely comfortable with. I've been doing the whole time and are very enthusiastic aboutswyx: is there a strong, like this time is different because, uh, my closest analog was 20 16 17. It was an AI boom.Mm-hmm. And it petered out very, very quickly. Um, we, it just, it just in terms of investingMarc: sort of, sort of,swyx: yeah. Investment, investment excitement.Marc: Although that's really when the, the, the Nvidia phenomenon really, it was, I would say it was in that period when it was very clear that at, at the time it, the vocabulary was more machine learning, but it, it was very clear at that time that machine learning was hitting some sort of takeoff point.Alessio: Yeah.Marc: Well, and as you guys, you guys have talked about this at length on, on your thing, but, you know, if you really track what happened, I think the real story is, it was, it was the Alex net, uh, basically breakthrough in like 2013. That was the, that was the real knee in the curve. Um, and then it was obviously the transformer breakthrough in 17.Alessio: Yeah.Marc: Um, and then everything that followed. But, but, you know, look, machine learning, you know, there were, you know, look, uh, I mean look, I've been working, you know, I've been working with, uh, one of my, you know, kind of projects working with Facebook since 2004. Um, and on the board since 2007, and of course, you know, they, they started using machine learning very early, um, and, you know, have used it basically, you know, for like 20 years for, you know, content, you know, feed optimization and advertising optimization.And obviously many, you know, financial services. You know, many, many, many companies, many different sectors have been doing this. And so it's like one of these things, it's like, it's not a, it's not a single thing. Like it's, it's like, it's like layers, right? Yeah. Um, and, and the layers arrive at different paces and, but they kind of build up.swyx: Yeah.Marc: Uh, they kind of build up over time and then, and then, yeah. And then look, in retrospect, it was 2017 was kind of the, you know, the key, the key point with the trans transformer and then. And then as you guys know, there was this really weird like four year period where it's like the, the transformer existed and then it was just like,swyx: let's go.Yeah.Marc: Well, but, but it was just, but, but between 2020, but between 2017 and 2021, I mean, that was the era of which like companies like Google had internal chat Botts, but they weren't letting anybody use them.swyx: Yeah.Marc: Right. And then, you know, and then OpenAI developed Chat GT or GPT two, and then they told everybody, this is way too dangerous to deploy.Right. Yeah. You know, we can't possibly let normal people, normal people use this thing. And then you, you guys, I'm sure remember AI Dungeon, um mm-hmm. So the o for, there was like a year where like the only way for a normal person to use GP T three was in, in AI dungeon.Alessio: Yeah.Marc: And so you, you, we would do this, you'd go in there and you'd pretend to play Dungeons and Dragons.In reality, you're just trying to talk to talk to GPT. And so there was this, you know, there was this long, you know, and I, you know, the big, big companies, you know, big companies are cautious and, you know, the big companies were cautious. It, it, by the way, it took open ai. You know, they, they, they talk about this, it took open AI time to actually adjust, you know, kind of re redirect their researchswyx: path.I, I think, uh, let say Rosewood, right? Uh, the, the dinner that founded OpenAI was right there.Marc: Right, right. But that, that dinner would've taken place in 20swyx: 18Marc: 19. The formation of OpenAI Uhhuh as late as 2018.swyx: Uh, uh, sorry. Uh, no, I'm, I'm, I'm, I'm wrong. Probably It should be 20. Yeah. They just celebrated a 10 year anniversary, so it it is 2025.Yeah, so, so 2015?Marc: Yeah. 2015. Yeah. 2015. But then, uh, um, Alec Radford did G PT one in what, probablyswyx: mm-hmm. 17, 18,Marc: yeah. 17, 18. So it, yeah. For, and then, and then they didn't really, and then GPT three was what? 2020? 2020.swyx: 2020.Marc: Because that became copilot immediately. Even open ai, which has been, you know, the leader of, of this thing in the last decade, you know, e even they had to adapt and, and, and lean into the new thing.And so. Um, yeah, I, I think it's just this process of basically sort of wave after wave layer after layer, you know, building on itself. And then you kind of get these catalytic moments where, where the whole thing pops and, and obviously that's what's happening now.swyx: Is it useful to think about will there be any ai, winter?‘cause there's always these patterns. Like, is this, in the summer is something I constantly think about because do I get, do I just like. Just get endlessly hyped and just trust that I will only be early and never wrong or right. Well, are we, will there be a winter?Marc: So there's something about, say the following.There's something about AI that has led to this repeated pattern. Um, and, and, and you guys know this,swyx: it's summer, winter, summer,Marc: winter, summer, winter, summer, winter. And it goes back 80 years. Yeah. 80 years. Uh, so the original neural network paper was 1943. Right. Which is, which is amazing. Uh, that it was, it was far back that long.And then there was you, if you guys have ever talked about this on your show, but there was this, uh, there was a big, uh, there was an a GI conference at Dartmouth University in 1950. 55. 55, yeah. And they got a NSF grant to, uh, for the, all the AI experts at the time to spend the summer together. And they figured if they had 10 weeks together, they could get a GI, uh, at the other end.And they got their, by the way, they got the grant, they got the 10 weeks and then, you know, 1955, you know. No, no. A GI. And like I said, I, I lived through the eighties version of this where there was a big, a big boom and a crash. And so, so there is this thing, and there, there is something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic.Um, and, and it's probably on both sides of like the, the, the boom bus cycle. You, you kind of see that play out. Having said that, I think what's actually happened is like just, and you know, and we now know in retrospect like an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years or that was controversial. And, and we now know that that's the case. And so we, we now, you know, everything we're building on today just sort of derives from the original idea in 1943. And so, so in retrospect, we, we now know that like, these, these guys are right.They, they, you know, they would get the timing wrong and they thought, you know, capabilities would arrive faster, or they were, it could be turned into businesses sooner or whatever, but like, they were fundamentally, the, the scientists who worked on this over the course of decades were fundamentally correct about what they were doing.And, and the, and the payoff from, from, from all their work is happening now. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right? Which is like, it's an overnight success.‘cause it's like bam, you know, chat, GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.Um, and thinking, and look, there were AI researchers who spent their entire lives. They got their PhD. They, they worked for, they've researched for 40 years. They retired in a lot of cases, they passed away and they never actually saw it work.swyx: Yeah. It's all sad.Marc: It is. It is sad. It's sad. Knewswyx: Jeff Hinton was like the last guy.Marc: Yeah. Yeah. Well, there were the guys, uh, was a guy, Alan Newell. I mean, there's tons of John McCarthy. You know, John McCarthy was like one of the inventors in the field. He's one of the guys who organized the Dartmouth Conference and you know, he taught at Stanford for 40 years. Wow. And passed, you know, passed away, I don't know, whatever, 10, 10 years ago or something.Never, never actually go. Got to see it happen. But like, it is amazing in retrospect, like, these guys were incredibly smart and they worked really hard and they were correct. So anyway, so then it's like, okay, you know, say history doesn't repeat, but it rhymes. It's like, okay, does that mean that there's gonna be another, like, you know, basically boom buzz cycle.And I, I will tell you, like, let, like in a sense, like yes, everything goes through cycles and, you know, people get overly enthusiastic and overly depressed and there's, there's a time, there's a timelessness to that. Having said that, there's just no question. Um, so the form, the foremost dangerous words in investing this time are, this time is different.Do you know the 12 most dangerous words investing? No. The four most d foremost dangerous words in investing are this time is different. Yeah. Um, the 12 most dangerous words. And so like, I'll tell you what's different. Like now it's working like, like there's just no, I mean, look, there's just no question.And by the way, I, I'll just give you guys my take. Like L LLMs, like from, from basically the Chad G PT moment through to spring of 25. I think you could still, I think well intention, well, and of. Form skeptics could still say, oh, this is just pattern completion. And oh, these things don't really understand what they're doing.And you know, the hall hallucination rates are way too high. And, you know, this is gonna be great for creative writing and creating, you know, Shakespeare and so sonnets and, you know, as, as rap lyrics or whatever, like, it's gonna be great and all that stuff, but we're not gonna be able to harness this to make this relevant in, you know, coding or in medicine or in law or in, you know, you know, kind of feels that, you know, kind of really, really matter.And I think basically it was the reasoning breakthrough. It, it was oh one and then R one that basically answered that question basically said, oh no, we're gonna be able to actually turn this into something that's gonna work in the real world. And, and then obviously the coding breakthrough over the, over basically the coding breakthrough that kind of catalyzed over the holiday break was kind of the third step in that.Mm-hmm. Where you're just like, alright, if, if, you know, if Linus Tova is saying that the AI coding is no better than he is like. Like, that's, that's never happened before. That's theswyx: benchmark.Marc: Yeah. That's never happened before. And so now we know that it's, it's gonna sweep through coding and, and then, and then we, we know, you know, we know that if it's gonna work in coding, it's gonna work in everything else.Right. It's just then, because that's, that's like, that's like, that's like the hardest in many ways. That's the hardest example. And how everything else is gonna be a, a derivative of that. And then on top of that, we just got the agent breakthrough, you know, with Open Claw, which is fantastic. Which is amazing and incredibly powerful.And then we just got the, the, um, the auto research, uh, you know, the, the self-improvement. You know, we're now into the self-improvement breakthrough. And so the, so the way I think about it is we've had four fundamental breakthroughs in functionality, l OMS reasoning, uh, agents, um, and then, uh, and, and then now RSI, um, and, and they're all actually working.Um, and so I'm, I'm just, as you like, you can tell I'm jumping outta my shoes. Like, like this is, like this is it like this, this is the culmination of 80 years worth of worth of work, and this is the time it's becoming real.Alessio: Yeah.Marc: I, I'm completely convinced.Alessio: I think the anxiety that people feel is like during the transistor era, yet Mors law, and it's like, all right, we understand why these things are getting better.We understand the physics of it. Yeah. With ai, it's. It's so jagged in like the jumps where like, like you said, it's like in three months you have like this huge jump like, and people are like, well this can keep happening. Right? But then it keeps happening,Marc: it'll keep happening.Alessio: And so like how do you think about also timelines of like what's we're building?I think we always have this question with guests, which is like, you know, should you spend time building harness for a model versus like the next model just gonna do it one shot in the lead space. Right. And how does that inform, like how you think about the shape of the technology? You know, you talk about how it's a new computing platform.If you have a computing platform, then like every six months it like drastically changes in what it looks like. It's hard to build companies on top of it.Marc: Yeah. So, so a couple things. So one is like, look, the, the Moore's law was what we now call a scaling law. Like Moore's Law was a scaling law and for your younger viewers, more Moore's Law was every chip chip chips either get twice as powerful or twice as cheap every, every 18 months.And that, and that and that, you know, that it's gotten more complicated in the last few years. But like that, that was like the 50 year trajectory of, of, of the computer industry. And then, and then by the way, and that's what took the mainframe computer from a $25 million current dollar thing into, you know, the phone in your pocket being, you know, a million times more powerful than that.Like that, you know, for, for 500 bucks. And so that, that was a scaling law. And then, and then, and then key to any scaling law, including Moore's Law and the AI scaling laws is, you know, they're not really laws, right? They're, they're, they're, they're predictions, but when they work, they become self-fulfilling predictions because they, they, they, they, they set a benchmark and, and then the entire industry, right?All the smart people in the industry kind of work to make sure that, that, that actually happens. And so they, they kind of motivate the breakthroughs that are required to, to keep that going. And, and in and in chips, that was a 50 year, that was a 50 year run. Right. And it, it was amazing. And it's still happening in, in some areas of, of chips.I think the same thing is happening with the, the core scaling laws. The core scaling laws. In, in, in ai, you know, they're, they're not really laws, but like they, they are basically. There are predictions and then they're motivating catalysts for the research work that is required to be. And, and, and, and by the way, also the investment, uh, dollars, um, uh, you know, required to basically keep, you know, keep the curves going and, and look, it, it is, it's gonna be complicated and it's gonna be variable and they're, you know, there're gonna be walls that are gonna look like they're fast approaching, and then they're gonna be, you know, engineers are gonna get to work and they're gonna figure out a way to punch through the walls.And obviously that's, you know, that's been happening a lot, you know, and then look, there's gonna be times when it looks like the walls have, you know, the, the, the laws have petered out and then they're gonna, they're gonna pick up again and surge and then, and then, and then it, it appears what's happening to the eyes is there's not multiple, you know, multiple scaling laws.Um, there's multiple areas of improvement. And, and I think, you know, I don't know how many more there are already yet to be discovered, but there are probably some more that we don't know about yet. You know, they, like, for example, there's probably some scaling law around, um, world models and robotics that we don't fully understand, you know, kind of acquisition of data at scale in the real world that we don't fully understand yet.So that, that, that one will probably kick in at some point here. There's a bunch of really smart people working on that. Um, and so, yeah, I, I think the expectation is that, that, you know, the, the scaling laws generally are gonna continue. Yeah. The, the pace of improvement will continue to move really fast.Um. To your question on like what to build. So, uh, I'm a complete believer the scaling laws are gonna continue. I'm a complete believer the capabilities are gonna keep getting amazing, um, you know, leaps and bounds. Uh, the part where I kind of part ways a little bit with how, what I would describe as the AI purists, um, you know, which is, which I would characterize as like the people who are.In many ways, the smartest people in the field, but also the people who spend their entire life, like at a lab, um, and have, have, I would say, have very little experience in the outside world. Um, the, the, the nuance I would offer is the outside world of 8 billion people and institutions and governments and companies and economic systems and social systems is really complicated.Um, and, um, and doesn't, you know, it it 8 billion people making collective decisions on planet Earth is not a simple process of like, just like you see this happening now. It's like a bunch of AI CEOs have this thing, which is just like, well, there's just this, they just all have this kind of thing when they talk in public where they're just like, well, there's these, these obvious set of things that so society to do.Alessio: Mm-hmm.Marc: And then they're like, society's not doing any of those things. Right. And it's like, how can society not, you know, what, whatever their theory is, how can society not see x, y, Z? Mm-hmm. And the answer is, well, society is number one. There's no single society, it's like 8 billion people. And they like all have a voice, and they all have a vote, like at the end of the day of how they, they react to change.And then, you know, it just like, it's just human reality is just really complicated and messy. Um, and, and, and so the specific answer to your question is like, as usual, it depends. Um, you know, it, it depends. Look, pe there's no question people are gonna, like, there's no question they're gonna be companies.It's already happening. There are companies that think that they're building value on top of the models and then they're just gonna get blissed by the, by the next model. There's no question that's happening. But I think there's no question also that just the process of adaptation of any technology into the real and into the real messy world of humanity is, is just going to be messy and complicated.It's, it's not going to be simple and straightforward. It's gonna be messy and complicated. And there are gonna be a lot of companies and a lot of products, um, uh, and in, in fact entire industries that are gonna get built to, to, to basically actually help all of this technology actually reach real people.Alessio: The amount of capital going into these companies, I mean, Dario talked about it on the Door Cash podcast and Door Cash was like, why don't you just buy 10 x more GPUs? And he is like, because I'm gonna go bankrupt if the model doesn't exactly hit the, the performance level. How do you think about that?Also as a risk on, you know, you guys are investors, open AI and thinking machines and world apps. It seems like we're leveraging the scaling loss at a pretty high rate, right? Like how comfortable, I guess, do you feel with the downside scenario, like, and say like things Peter out, you think you can kind of like restructure uh, these build outs and uh, you know, capital investments.Marc: Yeah. So should start by saying, so I live through the.com crash, um, and I can tell you stories for hours about the.com crash and it was horrible. No, it was awful. It was, it was, it was apocalyptic by the way. The, a lot of the.com crash was actually at the time, it was actually a telecom crash. It was a bandwidth crash.Like the, the thing that actually crashed, that wiped out all the money with the tele, the telecom companies.swyx: GlobalMarc: crossing. Global, global, yeah.swyx: I'm from Singapore and they, they laid so much cable o over over our oceans.Marc: Actually there was a scaling law in the.com. Era. And it was literally the, the US Commerce Department put out a report in 1996 and they said internet traffic was doubling every quarter.Um, and, and actually in 1995 and 1996, internet traffic actually did double every quarter. And so that became the scaling law. And so what all these telecom entrepreneurs did was they went out and they raised money to build fiber, anticipating that the demand for bandwidth is gonna keep doubling every quarter.Doubling every quarter though is like, you know, grains of chess and the chessboard, like at some point the numbers become extremely large. Right. And, and, and it really, and really what happened was the internet. The internet by the way, continuously kept growing basically since inception. And it's, you know, it's, it's continuously grown.It's never shrunk. And it's grown really fast compared to anything else. Mm-hmm. You know, in, in, in human history. But it wasn't doubling every quarter as of 19 98, 19 99. And so there was this gap in the expectation of what they thought was a scaling law versus reality. And that's actually what caused the.com crash, which was the, it they, they way over companies like global crossing way overbuilt fiber, which is sort of the, and by the way, fiber, telecom equipment, you know, so all the, all the networking gear, you know, and then, and then by the way, the actual physical data centers, like that was the beginning of the, of the, of the data center build and then, and the data center overbuild.And so you had that, but it was, it was literally, I think it was like $2 trillion got wiped out, right? It was like Jesus, it was like a big, it was. And by the way, the other, the other subtlety in it was the internet companies themselves never really had any debt. ‘cause tech, tech companies generally don't run on debt, but the telecom companies run on debt.Physical infrastructure companies run on debt. And so the companies like Global Crossing not just raise a lot of equity, they also raise a lot of debt. So they're highly levered. And so then you just do the thing. It's just like, okay, you have a highly levered thing where you're, you're just over, you're overbuilding capacity.Demand is growing, but not as fast as you hoped. And then boom, bankrupt. Right. And, and then it, and then it's like they say about the hotel industry, which is, it's always the third owner of a hotel that makes money. It has to go bankrupt twice, right? You have to wash out all of the over optimistic exuberance before it gets to actually a stable state.And then it makes money. So by the way, all of those data centers and all of those, all the fiber that they're in use, it's all in use today. Yeah. But 25 years later. But it, it, it took, and actually the elapsed time was, it took 15 years. It took 15 years from 2000 to 2015 to actually fill, fill up all that capacity.The cautionary warning is the, the overbuild can happen. Um, and, and, and, and, you know, you, you get into this thing where basically everybody, everybody who basically has any sort of institutional capital, it's like, wow. It's just, I, I don't know how to invest in these crazy software things. For sure I can put build data centers and for sure I can buy GPUs that I can deploy, you know, compute grids and, and all these things.Um, and so, you know, if you're a pessimist, you could look at this and you could say, wow, this is like really set up to be able to basically replicate, you know, what we went through, what we went through in 2000. Obviously that would be bad. The counter argument, which is the one I I agree with, which is the counter on, on the other side is a couple things.One is the companies that are investing all the, the companies that are investing the money are like the bluest chip of companies. And so back, back, back in the, in the do, like Global Crossing was like a, it was like an entrepreneur. It was like a, a new venture, but like the money that's being deployed now at scale is Microsoft, and, you know, and Amazon and Google, Facebook and Facebook and Nvidia and, you know, these, these, these, and, and now you know, by the way, open ai philanthropic, which are now at like, you know, really serious size, um, you know, as companies with, you know, very serious revenue.These are very large scale companies with like, lots, lots of cash, lots of debt capacity that they've, they've never used. And so th this is institutional in a way that, that really wasn't at the time. And then the other is, at least for now, every dollar that's being put into anything that results in a running GPU is being turned into revenue right away.Like so, and you guys know this, like everybody's starved for capacity, everybody's starved for compute capacity and then, you know, all the associated things, memory and, and, and interconnected and everything else. Um, data center space. And so e every dollar right now that's being put into the ground is turning into revenue.And, and it, and in fact, I actually think there's an interesting thing happening, which is because everybody starve for capacity, the models that we actually have that we can use today are inferior versions of what we would have if not for the supply constraints. That's true. Um, if Right pose a hypothetical universe in which GPUs were 10 times cheaper and 10 times more plentiful mm-hmm.The models would be much better. ‘cause you would just allocate a lot more money to training and you'd just build better models and they would be better. Um, and so we're, we're actually getting the sandbag version of the technology.swyx: Yeah. No. Everything we use is quantized because the, the labs have to keep the, the full versions,Marc: right?swyx: LikeMarc: we're not even getting the good stuff.swyx: Yeah.Marc: But, but getting the good stuff, it's, it's just, even if technical progress stops. Once there's like a much bigger build of like GPU manufacturing capacity and memory, you know, all, all the things that have to happen in the course of the next five or 10 years.Once it happens, even the current technology is gonna get, gonna get much better. And then as you know, like there's just like a million ways to use this stuff. Like there's just like a million use cases for this. Mm-hmm. Like, it, it, you know, this isn't just sending packets across a, a thing, whatever, and hoping that people find something to do with it.This is just like, oh, we apply intelligence into every domain of human activity. And then it works like incredibly well. Yeah. Um. Here's what I know, here's what I know. Um, in the next three or four year, it's like somewhere between three or four years out, basically everything is selling out. So like the, the entire supply chain is, is, is, is sold out or, or, or selling out.And so there, there's no, like, we're just gonna have like chronic supply shortage for, you know, for years to come. Um, there's going to be a response from the market that's gonna result in an enormous, you know, it's happening now. An enormous flood of investment in a new fab capacity and ev you know, every, everything else to be able to do that, at some point the supply chain constraints will unlock, you know, at least to some degree that will be another accelerant to industry growth when that happens.‘cause the products will get better and everything will get cheaper. Um, and so, so I know that's gonna happen. I know that, you know, the deployments, you know, the, the actual use cases are like really compelling. And then, like I said, you know, with reasoning and agents and so forth, like, I know they're just gonna get like much, much better from here.And so I, I, I know the capabilities are like really real and serious. I also know that the technical progress is not going to stop. It. It, it is excel. It is, is accelerating. Like the, the breakthroughs are are tremendous. I mean, even just month over month, the breakthroughs are really dramatic. And so, you know, I think if you were a cynic and there, there are cynics, you can look at 2000, you can find echoes.But I can't even imagine betting it that this is gonna like somehow disappoint and, you know, at least for years to come, I think it would be essentially suicidal to make that bet. Yeah. Um, it was that Michael Burry, uh, uh, that'sswyx: anMarc: interesting guy, huh? We'll pick on a guy. We'll pick, let's pick on one guy.We'll pick. Well ‘cause he did, he he came out with, it was, it was the, heswyx: doesn't mind.Marc: It was the Nvidia short. Right. He came with the Nvidia short. And then if you guys probably talked about this, which is the, the analysis now that like the current models are getting better faster at such a rate that if you are running an Nvidia, if you're running an Nvidia inference chip today, that's three years old, you're making more money on it today than you did three years ago because the pace of improvement of the software is, is faster than the, the, the depreciation cycle, the chip.And then my understanding is Google is running. I don't if they've, I don't know exactly what, uh, these are rumors that I've heard or maybe it's public, but, um, I think Google's running very old TPUs, very profitably. Ference. Yeah. And very profit and very profitably. Yeah. Um, and so, so it actually turns out, as far as I can tell, it's actually the opposite of the Beery thesis is actually.He was actually 180 degrees wrong. It's actually the, the, the, the old Nvidia chips are getting more valuable, which is something that's like literally never happened before. Like it's never been the case that you have an older model chip that becomes more valuable, not less valuable. And that, and again, that's an expression of the just ferocious pace of software progress.Ferocious pace of capability payoff. Yeah. Uh, that you're getting on the other side of this. And so I just, the idea of betting against that, like.swyx: Yeah. Yeah. Well, one ofMarc: my, it seems like an invitation to get your face ripped up.swyx: One of my early hits was like modeling the lifespan of the H 100 and h two hundreds and, and going like, you know, usually they advise like four to seven years and it was, you know, maybe you sort of realistically haircut cut it down to two to three.Yeah. But actually it's going up and not down. Yeah. And, and uh, that's, I mean that's, I think that's the dream. Uh, we are finding utilization and I think utilization solves all problems. Like, you can, you can find use, use cases for even like the poor, like even memory, we're having a shortage. Right. And, and even like the, the shittier versions of, of memory that we do have, we are finding use cases for it.So like That's great.Marc: Yeah.Alessio: How, how important is open source AI and kinda like edge inference in a world in which you have three years of supply crunch. Like, do you think in the, like, you know, if you fast forward like five years, like how do you think about inference, uh, in the data center versus at the edge?Marc: Well, so just to start, yeah. So I think, I think open source is very important for a bunch of reasons. I think edge, edge inference is very important for a bunch of reasons. I, I think just practically speaking, if we're just gonna have fundamental construc, supply crunches for the next, I mean, you, you guys know if you just project forward demand over the next three years, right?Yeah. Relative to supply, one of the, its main predictions you can do is what's gonna, what, what's gonna happen to the cost of, of inference in the core, uh, over the next three years? And like, it may rise dramatically, right? Like, so, so what is, and then is, is, you know, like the, the, the big model competition are subsidizing heavily right now.Right? Right. And so, so what's the, what will be the average person's, you know, per day, per month token cost, you know, three years from now to do all the things that they want to do. And I, I don't know, it's gonna. I mean, I have, you guys probably have friends, I have friends today who are paying a thousand dollars a day for open claw, for claw tokens to run open claw.Right? And so, okay. $30,000 a month. Right? And, and by the way, those, those friends have like a thousand more ideas of the things that they want their claw to do, right? Yeah. And so you, you could imagine there, there's like latent demand of up to, I don't know, five or $10,000 a day of, of, of tokens for a fully deployed, you know, per personal agent.Uh, and obviously consumers can't pay that, right? And so, so, but it gives you a sense of the fu of the fu of the future scope of demand, right? And so, so even, even if there's a 10 x improvement in price performance, that still, you know, goes to a hundred dollars a day, which is still way beyond what people can pay.Mm-hmm. So there's just gonna be like. Ferocious to me, by the way. The agent thing, the other interesting thing is I think the agent thing, so up until now, a lot of the constraints of GGPU constraints, I think the agent thing now also translates into CPU constraints. Mm-hmm. Right?swyx: CPU memory.Marc: Yes. CPU memory, right?And so, like the entire chip ecosystem is just gonna get wait,swyx: wait for network constraints, that that will be the killer.Marc: It's all bottleneck potentially for years. And so, so I, I think that Brad, and, and I think it's actually possible, I mean, generally inference costs are gonna keep coming down, but I think the, let's put it this way, the rate of decline, I think may level out here for a bit because of these supply constraints.And then at some point, maybe the lab stops subsidizing so much and that, that, that again, will be, be an issue. And so there's just gonna be so much more demand for inference than, than can be satisfied. Um, you know, kind of with the centralized model. And then, and then, you know, you guys know this, but like all the, just the dramatic, I mean just the dramatic innovations that have happened in the Apple silicon to be able to do, uh, inferences, it's quite amazing the level of effort being put.Like the open source guys are putting incredible effort into getting, you know, this recurring pattern where the big model will never run on a pc, and then six months later mm-hmm. Oh, it runs in a pc, right? It's like amazing. And there's very smart people working on that. So there's all that. And then look, there's also, you know.There's also like other, there's other motivators. There's other motivators which is just like, okay, how much trust are the big centralized model providers? You know, how much trust are they building in the market versus, you know, how much are, you know, at least for, in certain cases with some people, for certain use cases, people being like, well, I'm not willing to just like, turn everything over.So there, there, there's all the trust issues. Um, by the way, there's also just like straight up price optimization. There's many uses of AI where you don't need Einstein in the cloud. You just need like a, a a, a smart local model. There's also performance issues where you want, you know, you want, you know, you're gonna want your doorknob to have an AI model in it.Right. You know, to be able to, you know, do, um, you know, to be able to do access control. Um, obviously like everything with a chip is gonna have an AI model in it. Mm-hmm. And it, a lot of those are gonna be local. Um, and so, yeah. No, like I think, I think you're gonna have ti and then you're gonna, by the way, also wearable devices, you know, you don't wanna do a complete round trip.You want, you know, you, whatever your smart devices are, you want it to be like super low latency. Yeah.swyx: The question, do we care who makes it? Yeah. One of the biggest news this week was the collapse of AI two, the Allen Institute. Mm-hmm. One of the actual American open source model labs. Yeah. Um, and, uh, I'm not that optimistic on, on American open source.Yeah. Like you, you guys invested in MIS trial and MIS trial's doing extremely well outside of China. That's about it.Marc: Yeah. We'll see. We'll see. I look, I, number one, I do think we care. Uh, I do think we, I do think we care who makes it. Um, I would say this, the, the, the, the previous presidential administration wanted to kill it in the us Oh yeah.They wanted to drown in the bathtub. Um, and so they wanted to kill it. So at least we have a government now that actually like, actually wants it wants it to happen. And youswyx: earned to councilMarc: and Yeah. And the new and the P pcast. Yeah. So the, the, you know, this admin for whatever other political issues people have, which are many, you know, this administration has, I think a very enlightened view and in particular an enlightened view on AI and in particular on open source ai.Uh, and so they're very supportive. Um, my read is the Chi. The Chinese have a very, the various Chinese companies have a very specific reason to do open source, which is, they, they, they don't fundamentally, they don't think they can sell commercial, uh, AI outside of China right now. And or at least specifically not, not in the US for a combination of reasons.And so they, they kind of view, I think, open source AI as a bit of a loss leader against basically domestic, uh, you know, paid, paid services. And then kind of an, you know, kind of an ancillary products. You know, they're, they're very excited about it, by the way. I think it's great. I think it's great that they're doing it.Um, you know, I think Deeps seek was like a gift to the world. Um, I think. The great thing about open source, open source, the, the, the impact of open source is felt two ways. One is you, you get the software for free, but the other is you get to learn how it works, right? And so like the paper, the paper, the paper and, and the code, right?And the code. And so, like, for example, I thought this was amazing. So open comes out with L one and it's an amazing technical breakthrough, and it's just like, absolutely fantastic. But of course they don't explain how it works in detail. And then of course they hide the, they hide the reasoning traces, right?And, and then, and then, and then everybody's like, okay, this is great, but like, who's gonna be able to replicate this? Are other people gonna be able to do this? You know, is their secret sauce in there? And then our one comes out and it's just like, there's the code and there's the paper, and now the whole world knows how to do it.And then, you know, three months later, every other AI model is, is adding reasoning. And so, so you get this kind of double, like even if the Chinese models themselves are not the models that get used, the education that's taken place to the rest of the world, the information diffusion, you know, is incredibly powerful.So that happens and then, I don't know. We'll, we'll see. You know, there are a bunch of American, you know, open source, you know, ai, uh, model companies. I mean, look, there's gonna be tremendous, you know, there already is. There's, you know, there's gonna be tre there's tremendous competition, uh, among the primary model companies.You know, there's, depending on how you count, there's like four or five, you know, big co model companies now that are, you know, kind of neck and neck, uh, in different ways. Um, uh, you know, and, and, and, um, you know, and then obviously Bo Bo both X and then MetAware involved are, you know, both have huge, you know, huge attempts to, you know, kind of, to kind of leapfrog underway.And then you've got, you know, a whole fleet of startups, new companies, including a whole bunch that we're backing, that are, you know, trying to come out with different approaches. And then you've got whatever it is. I don't know how, how many, how many, like main line foundation model companies are there in China at this point?It's probably six. It'sswyx: five Tigers is what they call it. Yeah. Uh, Quinn is in questionable because there's change in leadership,Marc: right?swyx: Yeah.Marc: But that, does that include, that includes like Moonshot,swyx: yes. Can deep seek, uh, uh, ZI, um, Quinn oh one is in there.Marc: Right. And then, um, and by dance and, and then you see,swyx: ance would be like the next tier ance.They weren't as prominent. They weren't, didn't haveMarc: a leading. Yeah. But they, you at least, you know, ance is very inspiring and presumably they have more stuff coming and Tencent probably has more stuff coming and, and so forth. And so, so, so like, look, here, here would be a thing you can anticipate, which is there are not these markets, there are not going to be between the US and China right now, there's like a dozen primary foundation model companies that are like at scale, at, at some level of a critical mass.It's not gonna be a dozen in three years, right? Like, it just because these industries don't bear a dozen, it's, it's gonna be three or you know, there's gonna be three or four big winners or maybe one or two big winners. And so there's gonna be like a whole bunch of those guys that are gonna have to figure out alternate strategies.Um, and I think like open source is one of those strategies. And so I, I think you could see like a whole, i, I, I think the questions like, who's gonna do open source? I think that could change really fast. I, I think that, that, that's a very dynamic thing. I think it's very hard to predict what happens. And, and I think it's very important.swyx: NVIDIA's doing a lot.Marc: Well, I was gonna say. Well, exactly. And then you're got Nvidia and then, and then, you know, just to, again, indu, there's an old thing in business strategy, which is called, uh, commoditize Compliments. Commoditize the compliment. That's right. And so if your Jensen is just kind of obvious, of course, you wanna commoditize the software.Yeah. And he's, and to his enormous credit, he's putting enormous resources behind that. And so maybe it, maybe it's literally Nvidia and I think that would be great.Alessio: Yeah. Uh, narrative violation to European projects, uh, in the, uh, damn.swyx: I'm hosting my, uh, Europe, uh, conference soon. And I got both of them.Alessio: They got us.They got us. MarkMarc: finished. They got us, us. Well, wait a minute. Where was Peter? So where was Steinberger when he did? In AustriaAlessio: was, yeah, yeah, yeah.Marc: He was in what? He was in Vienna. Oh, he was in Vienna. And then where is he now?swyx: Uh, he's moving to sf.Marc: Okay. Okay. Alright. Okay, there we go. And then, yeah, the PI guy, right?The PI guys are European.swyx: Yeah, they're also, they're buddies inAlessio: Australia. Mario's also there. Yeah.Marc: Right. And are they, yeah, they haven't announced yet. Any sort of change changed or have theyAlessio: No, they're, they have a company there.Marc: Okay. Got, okay. Good.Alessio: Good, good,good.Alessio: Um,Marc: yeah, good.swyx: Anyways, I think pie and open cloud very important software things and, and I just wanted you to just go off on what you think.Marc: Yeah. So I think in co the, the combination of the two of them I think is one of the 10 most important softwares. Openswyx: Claw got all the attention, but Right. Talk about pie,Marc: pi pie's, kind of the Yeah. PI's, PI's kind of the architectural breakthrough for those of us who are older. There was this whole thing that was very important in the world of software basically from like 1970 to, I don't know, it still is very important, but like 19, from 1973 to like basically the creation of Linux, which is basically this, this thing used to call like the Unix mindset.Like so, so, ‘cause there were all these different, you know, theories. There are all these different operating systems and mainframes and, and then you know, all these windows and Mac and all these things. And then there was this, but kind of behind it all was this idea of kind of the Unix mindset. And the Unix mindset was this thing where basically you don't have these, like, like in the old days, like, like the operating system that like made the computer industry really work, like in the 1960s mm-hmm.Was this thing called o os 360, which was this big operating system that IBM developed that was supposed to basically run everything. And it was this like giant monolithic architecture in the sky. It was like a, you know, it was like a giant castle. Um, of software. And, and by the way, it worked really well and they were very successful with it.But like, it was this huge castle in the sky, but it was this thing, it was almost unapproachable, which is like, you had to be kind of inside IBM or very close to IBM. And you had to really understand every aspect, how the system worked. And then the, the Unix sky is originally out of at and t and then out out of Berkeley, um, you know, came out and they said, no, let's have a completely different architecture.And the way architecture's gonna work is we're gonna have, we're gonna have a, a prompt and, and a, and a shell. And then, and then we're gonna, all, all the functionality is gonna be in the form of these discreet modules, and then you're gonna be able to chain the modules together. Mm-hmm. Yeah. And so like the, the, the op, it's almost like the operating, operating system itself is gonna be a programming language.Um, and then that led led to the, the, the sort of centrality of the shell. Um, and then that led to sort of, uh, you know, basically chaining together Unix tools. And then that led to the emergence of these, these scripting languages like Pearl, where you, you could basically kind of very easily do this, and then the shells got more sophisticated and then, and then, and then look like, you know, that, that, that number one, that worked and that, that was the world I grew up in.Like I was, I was a Unix guy. You know, sort of from, call it 1988 to, you know, kind of all, all the way through my work and it worked really well. It, it's in the background, um, you know, nor normal people don't need to, didn't need to necessarily know about it, but like, if you were doing like system architecture, application development, you, you, you knew all about it.Um, and then, you know, it's been in the background ever since. And, you know, look, your Mac still has a Unix shell, you know, kind of in there, and your iPhone still has a Unix shell kind of buried in there somewhere. So they're kind of in there. And then, you know, the Windows shell is kind of a, you know, sort of a weird derivative of that.But, um, you know, but look, the inter, the internet runs on Unix, um, and that smartphones, actually, both iOS and Android are Unix derivatives. And so, you know, kind of Unix did end up winning. But, but anyway, and then we just started taking that for granted. And then, and then so, so basically the, the way I think about what happened with Pie and then with Open Claw is basically what those guys figured out is, I always say the, the great breakthroughs are obvious in retrospect, right?Which is the best kind, the best kind. They weren't obvious at the time or somebody else would've done them already. Um, and so there is a, like a real conceptual leap, but then you look at it sort of the backwards looking and you're just like, oh, of course. Mm-hmm. Like the, the, to me those are always the best breakthroughs.Well, actually language models themselves are like that. It's just like, oh, next token completion. Oh, of course.swyx: Yeah. What other objective mattered?Marc: Yeah, exactly. But, but like it, right. But she's even saying it wasn't obvious until somebody actually did it. Right. And so the conceptual breakthrough is real and deep and powerful and, and very important.And so the way I think about pie and olaw is it's basically marrying the, the language model mindset to the un to the Unix, basically shell prompt mindset. And so it's, it's basically this idea that what, what, so what is an agent, right? And as, as, and as you know, like many smart people who have been trying to figure out what an agent is for, for, for decades, and they've had many architectures to build agents and the whole thing.And it turns out what is an agent. So it turns out what we now know is an agent is the following. It's, so it's a language model. And then above that, it's a ba, it's a bash shell. Um, so it's a, it's a Unix shell, and then it's, and then the agent has access, uh, has access to, to the shell. And, you know, hopeful, hopefully in a sandbox, maybe in, maybe in a sandbox.So it's, it's the model. Um, it's the shell. Um, and then it's a fi, it's a file system. Um, and then the state is stored in files. And then, you know, there's the markdown format for the, you know, for, for the files themselves. And then, and then there's basically what in Unix is called Aron job. There's a loop and then there's a heartbeat for the, there's heartbeat and, and the thing basically Wake Wakes up.Wakes up. So it's basically LLM plus shell, plus file system, plus markdown, plus kron. And it turns out that's an agent. And, and, and every part of that, other than the model is something that we already completely know and understand. And in fact, it turns out that like the latent power of the Unix shell is like extraordinary because basically like all, like, there's just like an, there's just enormous latent power in the shell.There's enormous numbers of Unix commands, there's enormous number of command line interfaces into all kinds of things already in the, you know, your entire, I mean your entire, just to start with, your computer runs on a shell. If you're running a Mac or a, or, or a phone, your computer, your computer's running on a shell, uh, already.And so like the full power of your computer is available at the command line level. Um, and then it turns out it's really easy to expose other functions as a command line interface. And so like this whole idea where we need like MCP and these like product mm-hmm. Fancy protocols, whatever, it's like, no, we don't, we just need like a command, command line thing.So that's the architecture. And then it turns out what is your agent? Your agent has a bunch of files starting a file system. And then there's the thing that just like completely blew my mind when I write my head around it as a result of this, which is like, okay. This means your agent is now actually independent of the model that it's running on.Because you can actually swap out a different LLM underneath your agent and your, your agent will change personality somewhat. ‘cause the model is different, but all of the state stored in the files will be retained.swyx: Yeah. Different instruction set, but you just compiledit.Marc: Right, exactly. And it's all right.It's like right. Swapping out a ship and recompiling, but it's, it's still, it's still your agent with all of its memories. Um, and with all of its capabilities. And then by the way, you can also swap out the shell, uh, so you can move it to a different execution environment that is also, is also a b shell, by the way, you can also switch out the file system, right.Uh, and you can, and you can, and you can swap out the, the, the heartbeat for the, the crown framework, the, the loop that the agent framework itself. And so your agent basically is ba basically at the end of the day, it's just. It's just, its files. Um, and then, and then there's of course it a openswyx: call.Marc: Yeah, it's, it's basically, it's, it's just the files.Um, and then by the way, as a consequence of that, the agent and then the agent itself, it turns out a couple important things. So one is it, it's, it, it can migrate itself, right? And so you're, you can instruct your agent, migrate yourself to a different, uh, runtime environment, migrate yourself to a different file system, migrate yourself to a different, you know, swap out the language model.Your agent will do all that stuff for you. And then there's the final thing, which is just amazing, which is the agent is the agent actually has full introspection. It actually, it actually knows about its own files and it could rewrite its own files. Right. Which by the way, is basically no widely deployed software system in history where the, the, the thing that you're using actually has full introspective knowledge of how it itself works and is able to modify itself.Like that, that, I mean, there have been toy systems that have had that, but there, there's never been a widely deployed system that has that capability and then that leads you to the capability. That just like completely blew my mind when I wrap my head around it, which is you can tell the agent to add new functions and features to itself and it can do that.Extend yourself. Yeah. Right? Extend, extend yourself. Like extend yourself. Give yourself a new capability. Right? And so, and so literally it's just like you run into somebody at a party and they're like, oh, I have my open claw, do whatever, connect to my eat, sleep bed, and it gives me better advice and sleep.And you go home at night and you tell your claw, or if they're at the party, by the way, you tell your claw, oh, add this capability to yourself. And your claw will say, oh, okay, no problem. And it'll go out on the internet and it'll figure out whatever it needs and then it'll go out to claw code or whatever.It'll write whatever it needs. And then the next thing you know, it has this new capability. And so you don't even have to, like, you can have it upgrade itself without even having to, without having to do anything other than tell it that you want it to do that. And so anyway, so the, the combination of all this is just, I mean, this is just like a massive, incredible, I mean, it's just incredible.Like if I, if I were, if I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough. Yeah. And again, pe people are gonna look at it and they already get this response. People are gonna look at it and they're gonna say, oh, well, where's the breakthrough?‘cause these, the, all of these components were already known before. Mm-hmm. But, but this is the key, the key to the breakthrough was by using all these components that were known before, you get all of the underlying capability of that's buried in there. And so all, and so for example, computer use all of a sudden just kind of falls, trivi, trivial.Of course it's gonna be able to use your computer. It has full access to the shell. Right. And then, and then you just, you, you give it access to a browser, and then you've got the computer and the browser and, and often away it goes. And, and then you've got all the abilities of the browser also. Um, yeah.And so, and so the capability unlock here is profound. My friends who are, you know, deepest into this, are having their claw do like a, like, literally like a thousand things in their lives. They have new ideas every day. They're just like constantly throwing new challenges at the thing. And by the way, it's early and, you know, these are, you know, these are prototypes and there are, you know, as you guys know, there's security issues.Yeah. And, and so, you know, there's a bunch of stuff to be ironed out, but the, the unlock of capability is just incredible.swyx: Yeah.Marc: And I, I have absolutely no doubt that everybody in the world is gonna, is gonna have at least, you know, an agent like this, if not an entire family of agents. And w

On this episode of For Mac Eyes Only: Join Mike, Darren, and Special Guest Guy Serle as they discuss upgrading Macs in the world of Apple Silicon including whether it's necessary to upgrade as frequently, the best candidates to upgrade, what drives users to the latest CPUs, and a few opinions on the MacBook Neo and its longevity. Darren shares a FMEO Quick Tip to remind folks to double-check their app access permissions. And we wrap up with Guy's Essential App pick: Wave Link!

This is a recap of the top 10 posts on Hacker News on March 31, 2026. This podcast was generated by wondercraft.ai (00:30): Claude Code's source code has been leaked via a map file in their NPM registryOriginal post: https://news.ycombinator.com/item?id=47584540&utm_source=wondercraft_ai(01:56): Axios compromised on NPM – Malicious versions drop remote access trojanOriginal post: https://news.ycombinator.com/item?id=47582220&utm_source=wondercraft_ai(03:22): The Claude Code Source Leak: fake tools, frustration regexes, undercover modeOriginal post: https://news.ycombinator.com/item?id=47586778&utm_source=wondercraft_ai(04:48): Oracle slashes 30k jobsOriginal post: https://news.ycombinator.com/item?id=47587935&utm_source=wondercraft_ai(06:14): Artemis II is not safe to flyOriginal post: https://news.ycombinator.com/item?id=47582043&utm_source=wondercraft_ai(07:40): Ollama is now powered by MLX on Apple Silicon in previewOriginal post: https://news.ycombinator.com/item?id=47582482&utm_source=wondercraft_ai(09:06): GitHub backs down, kills Copilot pull-request ads after backlashOriginal post: https://news.ycombinator.com/item?id=47582984&utm_source=wondercraft_ai(10:32): Microsoft: Copilot is for entertainment purposes onlyOriginal post: https://news.ycombinator.com/item?id=47587866&utm_source=wondercraft_ai(11:58): Universal Claude.md – cut Claude output tokensOriginal post: https://news.ycombinator.com/item?id=47581701&utm_source=wondercraft_ai(13:24): GitHub's Historic UptimeOriginal post: https://news.ycombinator.com/item?id=47591928&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co ---- Apple may have stumbled into one of the most defensible positions in AI. This was not on my radar – just two months ago, I was describing a credibility crisis at the company; they appeared wrong-footed on the most important technology of our times and an acquisition was their only plausible way out.  In this episode I work through what I and many other commentators missed – and what road lies ahead for Apple. I cover: (01:16) Why I was wrong about Apple (02:40) What's behind the Mac Mini shortage (04:07) China goes OpenClaw crazy (06:28) Perplexity builds on a Mac Mini (07:12) The edge case for Apple (09:05) Apple Moat 1: hardware (11:31) Apple Moat 2: privacy (15:47) The K problem: when good enough beats genius (18:08) Privacy, sovereignty & the diary problem Read my old position on Apple at Substack: https://www.exponentialview.co/p/ev-515 For a practical guide  my OpenClaw stack, click here: https://www.youtube.com/watch?v=aCG3dFRF3ek ---- Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azeem/ Twitter/X: https://x.com/azeem Production by EPIIPLUS1.  Production and research: Baba Films, Chantal Smith, Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

New iPhone 17e! M5 Pro M5 Max chips are here! The New M5 MacBook Air! And the budget MacBook's name may have been accidentally revealed ahead of its expected announcement Wednesday! Apple introduces iPhone 17e. Apple introduces the new iPad Air, powered by M4. Apple debuts M5 Pro and M5 Max to supercharge the most demanding pro workflows. Apple introduces the new MacBook Air with M5. Apple's touch-screen MacBook Pro to have Dynamic Island, new interface. Apple accidentally leaks 'MacBook Neo'. Apple unveils new Studio Display and all-new Studio Display XDR. Apple's new Studio Display boxes designed to fit in your recycling bin. Some Apple AI servers are reportedly sitting unused on warehouse shelves, due to low Apple Intelligence usage. Picks of the Week Shelly's Pick: The Criterion Closet Picks Andy's Pick: Self Bag Christina's Pick: Spank Mikah's Pick: Spigen Classic LS Collection Hosts: Mikah Sargent, Andy Ihnatko, and Christina Warren Guest: Shelly Brisbin Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: spaceship.com/twit hipebl.ai

Pre-show: Marco’s Watch and snow blows woes TruFuel Follow-up: Casey got the CableCARD email