Podcasts about IPhone

Dan Nathan and Deirdre Bosa cover how macroeconomic factors like inflation and interest rates are influencing tech investments, the role of major tech companies in the AI race, and the evolving landscape of open-source AI models. They also delve into industry-specific developments, such as Apple's iPhone sales and AI integration, and NVIDIA's dominance in the AI chip market. The episode wraps up with thoughts on regulatory challenges and the future of AI technology in Silicon Valley. — View our show notes here Learn more about Current: current.com Listen to 'Strategic Alternatives': https://www.rbccm.com/en/gib/ma-inflection-points Email us at contact@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OkayComputerPod. We're on social: Follow @dee_bosa on Twitter Follow @GuyAdami on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page

Join host Scott as he sits down with Uri Rahimi, a serial entrepreneur whose diverse ventures span the worlds of e-commerce, manufacturing, and software development. From humble beginnings flipping iPhones in high school to building a multi-million dollar wall decor brand, Uri's story is a testament to the power of entrepreneurial spirit and relentless pursuit of opportunity. In this episode, we delve into Uri's journey, exploring his early forays into Amazon selling, the challenges of scaling a physical product business, and the strategic decision to open his printing facility in Miami. Uri shares invaluable insights from navigating the complexities of manufacturing, including his experiences at global trade shows and firsthand observations of production processes in China. Tune in to discover how diversification can create unexpected synergies between seemingly unrelated businesses, the strategic advantages of manufacturing your product line, and the importance of embracing the learning process inherent in every entrepreneurial journey. Episode notes: 00:17 - Uri Rahimi Introduction 02:00 - Uri Early Ventures in High School 04:00 - Entrance into Amazon and First Brand 06:00 - Learning from China and Import Challenges 06:25 - Scaling the Business 07:25 - Product Research 07:55 - Increasing Conversion Rate 10:45 - Number of SKUs Created and Removed 11:41 -  Reaching 7 Figures 12:00 - Uri Continued Interest and Involvement in Software Development 16:30 - Vertical Integration and Becoming a Manufacturer 17:55 - Overcoming Manufacturing Challenges 18:34 - Expansion to Print-On-Demand 20:45 - Technological Limitations and Innovations 26:15 - Artelo Specialization 29:07 - Seller Utilities 30:20 - Value of Having SQP Reports 32:35 - The Keepa Model 34:50 - What's Next for Uri? 36:23 - Beating China 37:22 - The Platform Risk 39:05 - The Future of Amazon LinkedIn: https://www.linkedin.com/in/uri-rahimi/ Related Posts: How to Leverage Amazon A+ Content for Brand Building  

Following the Apostle Paul's instruction to “continue in prayer,” we begin our excursion by studying the prayers of the patriarchs through the Pentateuch. Analyzing how they prayed, what they prayed for, and how they responded when God answered their prayers helps us to understand how God deals with us when we pray. VF-2317 Colossians 4:2 Watch, Listen and Learn 24x7 at PastorMelissaScott.com Pastor Melissa Scott teaches from Faith Center in Glendale. Call 1-800-338-3030 24x7 to leave a message for Pastor Scott. You may make reservations to attend a live service, leave a prayer request or make a commitment. Pastor Scott appreciates messages and reads them often during live broadcasts. Follow @Pastor_Scott on Twitter and visit her official Facebook page @Pastor.M.Scott. Download Pastor Scott's "Understand the Bible" app for iPhone, iPad and iPod at the Apple App Store and for Android devices in the Google Store. Pastor Scott can also be seen 24x7 on Roku and Amazon Fire on the "Understand the Bible?" channel. ©2025 Pastor Melissa Scott, Ph.D., All Rights Reserved

Las filtraciones apuntan a un iPhone 17 Air ultradelgado que podría ser el paso previo a un iPhone plegable. El grosor sería la característica más llamativa, pero las implicaciones irían mucho más allá.Profundiza:iPhone 17 Air, recopilación de rumores y filtraciones(Xataka)Contacta con el autor:X: @jlacort Bluesky: @lacortMail:lacort@xataka.comLoop Infinito es un podcast de Applesfera sobre Apple y su ecosistema, publicado de lunes a viernes a las 7.00 h (hora española peninsular). Presentado por Javier Lacort. Editado por Alberto de la Torre.

In Episode 114 Mark and Aaron discuss the big win vs  OKC and the loss to Indiana. They also look at the tough schedule ahead. In segment two the discuss various coaching situations and what it's really like in the NBA. In the faith segment they take a look at finding rest. Download for iPhone and Android or stream at riverradio.com

This week, we begin a six-week spiritual voyage of redefining personal stories and breaking free from repetitive patterns.  This period offers us an opportunity to address unlearned life lessons and transform long standing emotional challenges.  Discover the techniques and mindsets that can support you in taking advantage of the energy available.  This is the week to commit to change and transformation - for yourself and for the world!Join us for the next episode of Weekly Energy Boost with @ElishevaBalas and @EitanYardeni. Watch LIVE Mondays at 10 am PT / 1 pm ET on The Kabbalah Centre YouTube or catch the latest episode wherever you listen to podcasts.Download the Zohar app for android: https://bit.ly/4j7LHGpDownload the Zohar app for iPhone: https://apple.co/4agxgvBVisit www.weeklyenergyboost.com to learn more about what we discuss each week.You can also help make Weekly Energy Boost possible by making a tax-deductible contribution at www.weeklyenergyboost.com/donate-today.

Michael Wittenberg, a U.S. citizen, shares his harrowing experience of serving nearly two years in a Dominican Republic prison. Recently released, Michael opens up about the brutal conditions, the corruptness within the system, and the challenges of surviving in a foreign prison. He reveals how corruption impacted daily life, from extortion to unfair treatment, and the mental and physical toll it took on him. Now free, Michael discusses his journey toward rebuilding his life and shedding light on the realities of incarceration in a corrupt system #InsideMyHell #DominicanRepublicPrison #PrisonSurvival #TrueCrimeStories #LifeInPrison #InternationalPrisons #SurvivingHell #PrisonNightmare Thank you to FACTOR for sponsoring this episode: Visit https:/factormeals.com/lockedin50off to get %50 off your order PLUS free shipping! Connect with Michael Wittenberg: Website: http://www.michaelscottwittenberg.com Phone #: 516-834-3790 Email: michaelscottwittenberg@gmail.com X: @msw070981 TikTok: @msw0709 IG: @msw07091981 Facebook: Michael Wittenberg (Facebook.com/msw0709) Hosted, Executive Produced & Edited By Ian Bick: https://www.instagram.com/ian_bick/?hl=en https://ianbick.com/ Presented by Tyson 2.0 & Wooooo Energy: https://tyson20.com/ https://woooooenergy.com/ Buy Merch: https://www.ianbick.com/shop Use code lockedin at checkout to get 20% off your order Timestamps: 00:00:00 Introduction and Guest Welcome 00:07:32 Lawsuit Over Inheritance Dispute 00:15:57 Touring with Adult Industry Stars 00:24:20 Arrested in the Dominican Republic 00:33:18 Experiencing Prison Life and Corruption in the Dominican Republic 00:41:51 Life in General Population and Unexpected Realities of Prison 00:50:40 Navigating Legal Challenges in a Foreign Prison 00:59:43 Struggling with a Corrupt Legal System 01:08:25 Encounter with Special Agents 01:16:32 Legal Issues with iPhones in Jail 01:24:36 Facing Trial for International Narcotics Trafficking 01:33:21 Court Testimonies and Witness Accounts 01:41:59 Inside Look at Prison Life and Corruption 01:50:00 Navigating Legal Woes Before Returning to the U.S. 01:58:00 The True Meaning of Friendship 02:05:32 The Power of Storytelling and Overcoming Criticism Powered by: Just Media House : https://www.justmediahouse.com/ Creative direction, design, assets, support by FWRD: https://www.fwrd.co Learn more about your ad choices. Visit megaphone.fm/adchoices

Carl Quintanilla, Sara Eisen and David Faber broke down a big week ahead as another earnings season begins - and the street prepares for fresh inflation data later on. Barclays' Head of US Equity Strategy laid out where he sees risk ahead, plus one bank CEO defended his bull case – and top picks – for the financials. Also in focus: Tech & Tiktok. Nvidia shares falling on new AI-related export controls from the Biden Administration, while Apple shares fell into correction territory on a tough report around iPhone sales. Plus, Meta's Mark Zuckerberg not mincing words about Apple with Joe Rogan – we bring you the highlights. Former FCC Chairman Ajit Pai joined the team to discuss it all, and the path ahead for TikTok given a possible ban.  Finally: the latest on those California wildfires, with a live read from the ground in Altadena – and one developer's take on everything that could change in the rebuilding process, from permits to construction materials. 

Matt has an iPhone malfunction, Tino's wife Chelsea Montes is NOT about loud men at the gym, Are You Smarter Than Nicasio, and Tino talks the benefits of cold showers... Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of Mother Miriam Live, Mother Miriam continues reading about the customs of Epiphany and answers listener questions.Download the all-new LSNTV App now, available on iPhone and Android!LSNTV Apple Store: https://apps.apple.com/us/app/lsntv/id6469105564LSNTV Google Play: https://play.google.com/store/apps/details?id=com.lifesitenews.app****SHOP ALL YOUR FUN AND FAVORITE LIFESITE MERCH! https://shop.lifesitenews.com/+++Connect with John-Henry Westen and all of LifeSiteNews on social media:LifeSite: https://linktr.ee/lifesitenewsJohn-Henry Westen: https://linktr.ee/jhwesten Hosted on Acast. See acast.com/privacy for more information.

Several words in the New Testament Greek reveal that God expects His children to have great faith and bold courage in these tumultuous times we're living in.  But He doesn't expect us to have this courage on our own.  He has actively equipped us through the inner might and inner workings of His Spirit.  This equipment empowers us to be a fearless church, and a beacon of light to a world full of fear, uncertainty, and anxiety. VF-2463 2Timothy 1:7 Watch, Listen and Learn 24x7 at PastorMelissaScott.com Pastor Melissa Scott teaches from Faith Center in Glendale. Call 1-800-338-3030 24x7 to leave a message for Pastor Scott. You may make reservations to attend a live service, leave a prayer request or make a commitment. Pastor Scott appreciates messages and reads them often during live broadcasts. Follow @Pastor_Scott on Twitter and visit her official Facebook page @Pastor.M.Scott. Download Pastor Scott's "Understand the Bible" app for iPhone, iPad and iPod at the Apple App Store and for Android devices in the Google Store. Pastor Scott can also be seen 24x7 on Roku and Amazon Fire on the "Understand the Bible?" channel. ©2025 Pastor Melissa Scott, Ph.D., All Rights Reserved

Las ventas de iPhone cayeron un 5% en el último trimestre de 2024, marcando una desaceleración en el crecimiento de Apple tras una década de resultados positivos. Este descenso se atribuye a la fuerte competencia en mercados clave como China y a la inflación global que afecta el poder adquisitivo de los consumidores. Mientras tanto, el Tribunal Supremo de EE.UU. anunció que revisará el caso de la posible prohibición de TikTok días antes del plazo límite fijado para su prohibición, el 1 de febrero de 2025. La decisión podría cambiar el panorama de las redes sociales, ya que TikTok enfrenta acusaciones de riesgos de seguridad nacional por sus vínculos con China. Ambas noticias destacan tensiones económicas y geopolíticas que impactan a gigantes tecnológicos. ENLACES https://tradersunion.com/es/news/financial-news/show/48306-iphone-sales-drop-5/ https://www.france24.com/es/ee-uu-y-canadá/20250110-supremo-de-ee-uu-revisará-el-caso-de-tiktok-días-antes-del-plazo-límite-para-su-prohibición //Donde encontrarnos Canal Youtube https://www.youtube.com/c/ApplelianosApplelianos/featured Grupo Telegram (enlace de invitación) https://t.me/+U9If86lsuY00MGU0 Correo electrónico applelianos@gmail.com Canal Telegram Episodios https://t.me/ApplelianosFLAC Mi Shop Amazon https://amzn.to/30sYcbB Twitter https://twitter.com/ApplelianosPod ( (https://twitter.com/ApplelianosPod)https://twitter.com/ApplelianosPod ) Apple Podcasts https://podcasts.apple.com/es/podcast/applelianos-podcast/id993909563 Ivoox https://www.ivoox.com/podcast-applelianos-podcast_sq_f1170563_1.html ( (https://www.ivoox.com/podcast-applelianos-podcast_sq_f1170563_1.html ) https://www.ivoox.com/podcast-applelianos-podcast_sq_f1170563_1.html

Mon, 13 Jan 2025 21:30:00 GMT http://relay.fm/upgrade/546 http://relay.fm/upgrade/546 Jason Snell and Myke Hurley Bonnets off to the BBC, the trouble with headlines, Socrates on mountain skis, some slight existential dread about Mac software, irrational love of old computers, Apple's smart home strategy for 2025, and the long wait for some AI features. Bonnets off to the BBC, the trouble with headlines, Socrates on mountain skis, some slight existential dread about Mac software, irrational love of old computers, Apple's smart home strategy for 2025, and the long wait for some AI features. clean 5759 Bonnets off to the BBC, the trouble with headlines, Socrates on mountain skis, some slight existential dread about Mac software, irrational love of old computers, Apple's smart home strategy for 2025, and the long wait for some AI features. This episode of Upgrade is sponsored by: Ecamm: Powerful live streaming platform for Mac. Get one month free. Oracle: Oracle Cloud Infrastructure is a single platform for your infrastructure, database, application development, and AI needs. ExpressVPN: High-Speed, Secure & Anonymous VPN Service. Get an extra three months free. Links and Show Notes: Get Upgrade+. More content, no ads. Submit Feedback Connected #534: The Rickies (January 2025) - Relay Apple Intelligence summaries might get warning labels. That's not enough. – Six Colors LLMs aren't always bad at writing news headlines – Six Colors Artifact's killer feature was rewriting bad headlines – Six Colors Fires Deal Another Blow to Reeling Entertainment Industry, City - Bloomberg Report: Apple's US chip manufacturing grows by adding Apple Watch S9 SiP - 9to5Mac How TSMC's Arizona Chip Plant Seeded a Tiny Taipei in the Desert - The New York Times Apple Intelligence | Imagine it. Genmoji it. | iPhone 16 - YouTube After 30 years, Script Debugger is being retired – Six Colors Upgrade #338: Loved by Podcasters the World Over - Relay The mortality of software – Six Colors Apple 2025 Plans: iPhone 17, Smart Home Hub, iOS 19, AI, Apple Watch, iPads, M5 - Bloomberg The MacBook Air's wedge is truly gone — and I miss it already - The Verge Apple Watch | Quit Quitting | Apple - YouTube WHOOP Kuo: Ultra-thin iPhone 17 Air will be just 5.5

Massive Data Breaches, Apple Targeted, Facebook Security Flaw - Cybersecurity Today In this episode of Cybersecurity Today, host Jim Love covers a massive breach revealing how location data is harvested through thousands of popular mobile apps on Android and iOS. Files leaked from Gravy Analytics expose critical privacy concerns with real-time bidding systems. Additionally, hackers are increasingly targeting Apple devices, including a breakthrough hack of iPhone 15's USB-C controller. The episode also discusses a critical vulnerability in Meta's Facebook ad platform, highlighting the importance of up-to-date security measures in ad tech. 00:00 Introduction to Cybersecurity Today 00:23 Massive Location Data Harvesting Exposed 02:03 Apple Devices Under Attack 04:05 Critical Vulnerability in Facebook Ad Platform 05:39 Conclusion and Contact Information

Miguel and Sonja dive into the natural ebb and flow of life's cycles, exploring how moments of sadness or uncertainty can offer clarity on what truly matters. They discuss the importance of embracing these periods as part of the human experience and share insights on how to navigate challenges with grace. By focusing on what brings joy and meaning, they reveal how to align with life's rhythm and find a deeper sense of purpose and peace. Website http://www.oppositesattractpod.com Buy Us a Coffee https://www.buymeacoffee.com/oppositepod iPhone https://tinyurl.com/s4r7f3 Social Media Links YT: https://tinyurl.com/cdmjfx6d FB: https://tinyurl.com/5y8pkkat Insta: https://tinyurl.com/3n6p68rv Twit: https://tinyurl.com/y2v8yrmj TikTok: https://vm.tiktok.com/ZM83rmJFo/

This week, the guys are recording on a VERY big day! It's Evan's birthday!! While the guys record on his big day, Evan takes some time to pose some quandaries to Josh and the podcast. The dilemmas in question include an e-commerce issue revolving around an Amazon purchase of an iPhone, whether to open Pokémon card packs purchased for an amazing price, and more. With Josh also recently turning a year older, hopefully he can impart some wisdom. The guys also debut their newest segment, so tune in to discover what's taking the place of Life is Punny! And as always, there might be some Fact of the Week and "sticking it to the man" tidbits mixed in.

Update on our week:  We have returned after the New Year.  We start if off with Andy, and he has a question, What happened to retro consoles?  Andy has quite a few systems, but it appears that there are not any new systems being released.  Are customers still interested?  Noel picks up a newer console in the PlayStation 5 Pro.  There are some plus and minus to this new system, listen to Noels thoughts.  Noel also finishes RoboCop Rogue City.  A great follow up to RoboCop 2 the movie.  This game is a must try.  Lastly Noel finished Final Fantasy 16 DLC with Echoes of the Fallen and The Rising Tide.  Daniel also has been gaming and beat Marvels Guardians of the Galaxy game.  This was a different take on the movies, but a very good game.  Daniel is always looking for a good documentary to watch, this one is no different.  He watches Super/Man: The Christopher Reeve Story which goes into the story of Christopher getting the role of Superman to his horse riding accident.  Daniel also watches Reagan the movie.  This is a movie of our 40th president Ronald Reagan.  While it did not do well in the theaters, Daniel really enjoyed this one.   Article for the week: Will the McDonald's worker who called 911 on Luigi Mangione get a reward?   https://www.fox5ny.com/news/mcdonalds-worker-911-call-luigi-mangione-reward   Warning: May have Strong Language and Content.   ========== Thank you to everyone who enjoys what we do.  If you like what we do, please spread the word of our show. Email questions or suggestions to ffnquestions@gmail.com ========== Follow us on TWITTER (X) https://twitter.com/FreeFormNetwork Follow us on FACEBOOK https://www.facebook.com/profile.php?id=61557790516078 ========== Free Form Network and all our podcast are available on many platforms including STITCHER, ANDROID, IPHONE, IPAD, IPOD TOUCH and PODBEAN   IPHONE, IPAD & IPOD TOUCH http://itunes.apple.com/us/podcast/free-form-network/id995998853 SPOTIFY https://open.spotify.com/show/0QKRhkXDmQ9cxItaiu49Vy IHEART RADIO https://www.iheart.com/podcast/338-free-form-network-94075820/ TUNE IN RADIO http://tunein.com/radio/Free-Form-Network-p784190/ PLAYER FM https://player.fm/series/3326348 TUMBLR https://freeformnetworkpodcast.tumblr.com/ WORDPRESS https://freeformnetwork.wordpress.com/ YOUTUBE https://www.youtube.com/channel/UCj0LNZRJHyW7sQwM5ZdOCQg DEEZER https://www.deezer.com/us/show/1857582 PODCHASER https://www.podchaser.com/podcasts/free-form-network-97539 PODCAST ADDICT https://podplayer.net/?podId=2920676 PANDORA https://www.pandora.com/podcast/free-form-network/PC:53088 AMAZON MUSIC https://music.amazon.com/podcasts/41213756-a9ad-46bc-8d6c-ea2d30bd2fb9/free-form-network LISTEN NOTES https://www.listennotes.com/podcasts/free-form-network-free-form-network-ElG1hW2tS3v/ GOOGLE PODCAST https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL2ZyZWVmb3JtbmV0d29yay9mZWVkLnhtbA PODBEAN DESKTOP http://freeformnetwork.podbean.com/ PODBEAN MOBILE http://freeformnetwork.podbean.com/mobile   ========== Free Form Radio - Episode 236- 01/12/2025 Hosted by Daniel, Andy and Noel ==========   FREE FORM NETWORK

This week's topics include: Kim Jong bans hot dogs, iPhones, sports, microwaves, and more in North Korea California wildfires Boldy James is on a hell of a run Alleged leaked Drake DMs Free Game with Yeez Whole Lions coaching staff getting interviewed THANKS FOR LISTENING! Follow the platforms: Facebook: Project Concrete Podcast Twitter: PCPod_ Instagram: projectconcrete.pod

Happy New Year, we hope you've had a fantastic holiday filled with much deserved rest, good food, and even better company. We're starting 2025 with strong with TBWA veteran-turned-indy CCO Chuck Monn. Among many things, he takes us into the mind of an award-winning creative director who touched cultural pillars like the Olympics, Visa, and Apple. He leaves brands more memorable than he found them, and has shaped iconic work like 'Mac vs PC' and 'Shot on iPhone'.Our top 5 moments: "You're not making ads, you're making communication that helps you understand how an iPhone works." "The way it started having a life of its own, and expanding to mean how people see the world through Apple products, was such a powerful reminder of the importance of platforms and brands. Building something that people can play with and make bigger.""These people would fly out to where their billboard was... there was one woman who had never been on a plane before who flew out to be in front of her billboard in Times Square... it was a heart-warming, lovely connection between the brand and the people who make it." "Between Chiat and MAL, I was between those two places for 25 years... after 15 years working on Apple, I just needed a break. I have two kids... I just needed for the first time to just be dad. That was really important." "My first job in Chiat I took off for like 7 hours because I was working on a pitch at 3 in the morning and started at Chiat at 9 the next day. Find us us on Twitter, Instagram, and at The Bad Podcast dot com

* Do you ever feel like your phone is listening in on your conversations? Apple agreed to a $95 million settlement in a case that alleged Siri was unlawfully eavesdropping. We explain what happened and how tech companies know so much about us.

Do you ever feel like your phone is listening in on your conversations? Apple agreed to a $95 million settlement in a case that alleged Siri was unlawfully eavesdropping. We explain what happened and how tech companies know so much about us.

Dos medidas concretas acaban de entrar en vigor -una en Francia y otra en en la Unión Europea- para luchar contra la obsolescencia prematura de los electrodomésticos. Se trata del nuevo índice de sostenibilidad y del cargador universal para los teléfonos celulares. Nos ha pasado a todos: comprar un aparato que deja de funcionar a los dos meses y tener que comprar uno nuevo. En Francia, el año inició con una nueva medida para incentivar el reuso, la reparación y luchar contra la obsolescencia prematura. Desde el 8 de enero, todos los nuevos televisores vendidos en Francia llevan una eco etiqueta. Se trata de un pequeño símbolo con un reloj de arena y una calificación de 1 a 10 (para los objetos más robustos) y que permite a los consumidores informarse mejor sobre lo que compran.Dicho índice de sostenibilidad se calcula a partir de una serie de criterios: si el televisor es reparable, si resiste bien al deterioro y si conlleva una garantía de al menos 3 años, por ejemplo. La medida solo concierne los televisores, pero en unos meses, se aplicará a las lavadoras también. “Es un avance muy importante. Hemos luchado por este índice durante casi 10 años”, dice a RFI el economista francés Samuel Sauvage, cofundador de la asociación civil Halte à l'obsolescence, ‘Basta de obsolescencia', en francés.Dicha organización que lucha a favor de la economía circular, se basó en la ley francesa de 2015 que prohíbe la obsolescencia programada para demandar a Apple. En 2020, el gigante estadounidense de los teléfonos celulares fue condenado a 25 millones de euros de multa por haber voluntariamente acorta la duración de vida de las baterías de los Iphone.Aunque el nuevo indicar francés no aplicará para los teléfonos celulares – en espera de una legislación similar nivel europeo - “el consumidor podrá saber con esa nota de 1 a 10 si el televisor podrá ser a la vez reparado, si tiene las piezas de recambio, si es desmontable y también si es robusto, si resiste a los choques”, se alegra Sauvage.Y aunque serán los fabricantes quienes se encargarán ellos mismos de elaborar los índices de sostenibilidad de sus productos, “habrá controles a nivel del Estado francés, el detalle de las notas estará en línea y visible por cualquier consumidor o para organizaciones como como la nuestra. Así que se permitirá tener controles regulares”, indica el activista.Samuel Sauvage recuerda que su organización realizó una investigación sobre el índice de reparabilidad, un indicador que existía desde 2021 en Francia, pero que no incluía criterios como la solidez de los aparatos o la existencia de garantías. Dicha investigación “había mostrado que globalmente las notas eran bastante coherentes. Pero siendo siempre atentos ante la tentación que puedan tener algunas marcas de sobrevalorar sus productos”, advierte Sauvage.Pero ¿qué tanto impacto puede tener este tipo de indicadores para los consumidores?Según afirma el economista Samuel Sauvage, “los consumidores franceses escogen más los productos que tienen mejor nota, por ejemplo, sobre las lavadoras. Las que tienen una nota superior a 8 de 10 en el 2022 representaban el 13% de las ventas. Y en tan solo un año pasaron a representar el 20%, de las ventas, y eso se ve sobre muchas categorías de productos, así que los consumidores escogen cada vez más los productos que tienen la mejor nota, aunque sean más caros”.El cargador universal para celulares en la U.E.La Unión Europea también camina hacia una regulación para limitar el despilfarro de aparatos electrónicos. Todos tenemos en casa esta maraña de cables amontonados en un cajón. Para evitar esto, desde finales de diciembre de 2024, ha entrado en vigor el cargador universal en la Unión Europea.Celulares, cámaras, audífonos, altavoces portátiles y teclados nuevos serán compatibles con el mismo cargador de tipo USB C. Los consumidores además podrán optar por recibir o no el cargador. Se busca de esta manera ahorrar 11.000 toneladas de residuos electrónicos anuales en la Unión europea, según cálculos de Bruselas.“En 2020 se vendieron más de 420 millones de dispositivos electrónicos, incluidos teléfonos móviles”, recuerda el eurodiputado conservador Pablo Arias (PP, España). “Había 30 soluciones para cargar teléfonos móviles. La Comisión Europea estimó que era una amalgama demasiado amplia para cargar teléfonos móviles y que era un problema para el consumidor. Lo que se puso sobre la mesa por una cuestión de comodidad para el consumidor también llegó con la intención de reducir los residuos electrónicos en el marco del Green Deal” -el Paquete Verde de leyes ecologistas que hacen de la Unión Europea un espacio pionero en materia de protección ambiental -, detalla Pablo Arias.Sin embargo, esta medida de sentido común no ha sido fácil de alcanzar: el gigante Apple opuso resistencias. Y lo que inicialmente debía ser una medida fundada en la buena voluntad de los fabricantes de aparatos electrónicos, acabó en una ley obligatoria que instauró el cargador USB C desde diciembre de 2024, nos cuenta el eurodiputado Pablo Arias, miembro de la comisión de protección de los consumidores.La Unión Europea también está preparando una directiva para instaurar a partir de 2025 en los 27 países del continente un etiquetado con un índice de sostenibilidad para los electrodomésticos nuevos, emulando el sistema francés.Se trata, concluye el eurodiputado Pablo Arias de “pasar del producir, usar y tirar a un sistema en el que pudiésemos unas opciones en las que, como tenemos falta de materias primas, pudiéramos reciclar reutilizar, reacondicionar, reparar, rediseñar, renovar y recuperar”.Entrevistas:-Samuel Sauvage, economista y cofundador de la organización francesa Halte à l'obsolescence - 'Basta de Obsolecencia'-Pablo Arias, eurodiputado del Partido Popular (conservador).

The Daily Business and Finance Show - Monday, 13 January 2025 We get our business and finance news from Seeking Alpha and you should too! Subscribe to Seeking Alpha Premium for more in-depth market news and help support this podcast. Free for 14-days! Please click here for more info: Subscribe to Seeking Alpha Premium News Today's headlines: C-3PO dreams: Tesla aims to sell humanoid robots to consumers in 2026 Crude oil spikes most in three months as new Russia oil sanctions 'taken more seriously' Nvidia at CES: Hit or Flop? Data center infrastructure revenue to reach $282B in 2024, capacity to triple by 2030 Zuckerberg slams Apple for lack of invention, 'squeezing people' for money China stops Foxconn from sending Chinese workers to India iPhone factories: Rest of World Apple Intelligence has failed to boost iPhone sales: Ming-Chi Kuo Iran selling oil stored in China to fund militias in Middle East: report CES focused on AI and accelerated compute. These companies are likely to benefit. Explanations from OpenAI ChatGPT API with proprietary prompts. This podcast provides information only and should not be construed as financial or business advice. This podcast is produced by Klassic Studios Learn more about your ad choices. Visit megaphone.fm/adchoices

Lo primero de todo, protégelo. Activar la localización es un imprescindible para que tanto el teléfono como las apps funcionen correctamente, y no vas a estar más protegido por desactivarla. Lo segundo configurar la carga inteligente. Uno de los aspectos que conviene configurar es este, presente en casi todos los teléfonos de última generación. Vete a los ajustes de batería del teléfono, y cacharrea con las opciones que vas a encontrar. Una buena opción es la de limitar la carga al 80%, para protegerla del paso del tiempo. Y por ultimo un gran truco para ahorrar espacio en fotos y vídeos. Hay un truco que pocos conocen para que las fotos y los vídeos ocupen prácticamente la mitad. En Android, abre la cámara de fotos, vete a los ajustes, y busca estos dos apartados: Formato de vídeo eficiente (H.265) Captura de foto/formato de foto eficiente (HEIC) En los iPhone esta función viene activa por defecto. ¡Ah! y configura Whatsapp para que sólo descargue fotos / vídeos cuando tú lo selecciones para evitar que se descargue todo el contenido innecesario que se envía en grupos.

Discussion avec Marie-Gabrielle Ménard.Pour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

This weeks sponsors Raycon Everyday Earbuds www.buyraycon.com/JRER Get FIFTEEN percent off sitewide Draft Kings www.draftkings.com New players can play five bucks to get a spin on the mystery wheel for a shot at up to ONE THOUSAND in Casino Credits! Download the app and sign up with code JRER. For Iphone get from the Store Android playstore   www.JREreview.com For the latest Joe Rogan News and Blog posts Head to our Patreon to support the show For all marketing questions and inquiries: JRERmarketing@gmail.com   This week we discuss Joe's podcast guests as always: Rick Perry & W. Bryan Hubbard A portion of ALL our SPONSORSHIP proceeds goes to Justin Wren and his Fight for the Forgotten charity!! Go to Fight for the Forgotten to donate directly to this great cause. This commitment is for now and forever. They will ALWAYS get money as long as we run ads so we appreciate your support too as you listeners are the reason we can do this. Thanks! Stay safe.. Follow me on Instagram at www.instagram.com/joeroganexperiencereview Please email us here with any suggestions, comments and questions for future shows.. Joeroganexperiencereview@gmail.com

Sun, 12 Jan 2025 22:00:00 GMT http://relay.fm/mpu/779 http://relay.fm/mpu/779 An AirPods Launcher 779 David Sparks and Stephen Hackett In this feedback episode, the guys discuss AI-powered dictation solutions, the safety features built into many Apple products, and some listener feedback. In this feedback episode, the guys discuss AI-powered dictation solutions, the safety features built into many Apple products, and some listener feedback. clean 4210 In this feedback episode, the guys discuss AI-powered dictation solutions, the safety features built into many Apple products, and some listener feedback. This episode of Mac Power Users is sponsored by: Ecamm: Powerful live streaming platform for Mac. Get one month free. Indeed: Join more than 3.5 million businesses worldwide using Indeed to hire great talent fast. Links and Show Notes: Sign up for the MPU email newsletter and join the MPU forums. More Power Users: Ad-free episodes with regular bonus segments Submit Feedback Introducing Whisper | OpenAI MacWhisper superwhisper Testing superwhisper | FAST voice-to-text tool for Mac - YouTube Whisper Memos Safety Features - Official Apple Support Use Fall Detection with Apple Watch - Apple Support Use Crash Detection on iPhone or Apple Watch to call for help in an accident - Apple Support Set up your Medical ID in the Health app on your iPhone - Apple Support Make an emergency call from a locked iPhone - Apple Support If you lost your Apple TV remote - Apple Support Gridfinity Generator 774: Answering Common Tech Support Questions - Episodes - MPU Talk Find your lost AirPods with Find My - Apple Support Amazon Kindle Colorsoft Signature Edition Kindle Paperwhite Signature Edition 2024 Kindle Colorsoft and Paperwhite Review: No perfect choices – Six Colors Amazon Kindle Scribe Logitech MX Vertical Ergonomic Wireless Mouse USB-C Co

Skip the banter: 00:05:02In a chilling tale of wealth, privilege, and tragedy, a 16-year-old boy's decision to drive drunk leads to devastating consequences. Allison not only explores the night of horror that unfolded in Burleson, Texas, but she also delves into the controversial legal defense of "affluenza" - a term that would spark a national debate on justice and accountability. Discover how one fateful night forever altered the lives of many, raising questions about the role of privilege in our legal system. Will justice prevail, or will wealth pave the way for leniency? Listen to uncover the full story.SodaStream we talked about: https://amzn.to/3C7VbknEpisode video from our home studio (like and subscribe - it's good luck!): https://youtu.be/o5FOErpVVTESupport the showAll our links (YouTube, Instagram, TikTok, Merch, etc):https://linktr.ee/crimeandcoffeeFacebook Group to discuss episodes:www.facebook.com/groups/crimeandcoffeecouplepodcast/References available at https://www.crimeandcoffeecouple.com a few days after this podcast airs.Case Suggestions Form: https://forms.gle/RQbthyDvd98SGpVq8Remember to subscribe to our podcast in your favorite podcast player. Do it before you forget!If you're listening on Spotify please leave us a 5-star review, and leave a comment on today's episode!If you're on an iPhone, review us on Apple Podcasts please! Scroll to the bottom of the page and hit the stars ;)We appreciate you more than you know.Reminder:Support us and become a Patron! Over 80 bonus episodes:https://www.patreon.com/crimeandcoffeecouplePodcast Intro and Outro music:Seductress Dubstep or TrippinCoffee by Audionautix http://audionautix.comCreative Commons Music by Jason Shaw on Audion...

Sun, 12 Jan 2025 22:00:00 GMT http://relay.fm/mpu/779 http://relay.fm/mpu/779 David Sparks and Stephen Hackett In this feedback episode, the guys discuss AI-powered dictation solutions, the safety features built into many Apple products, and some listener feedback. In this feedback episode, the guys discuss AI-powered dictation solutions, the safety features built into many Apple products, and some listener feedback. clean 4210 In this feedback episode, the guys discuss AI-powered dictation solutions, the safety features built into many Apple products, and some listener feedback. This episode of Mac Power Users is sponsored by: Ecamm: Powerful live streaming platform for Mac. Get one month free. Indeed: Join more than 3.5 million businesses worldwide using Indeed to hire great talent fast. Links and Show Notes: Sign up for the MPU email newsletter and join the MPU forums. More Power Users: Ad-free episodes with regular bonus segments Submit Feedback Introducing Whisper | OpenAI MacWhisper superwhisper Testing superwhisper | FAST voice-to-text tool for Mac - YouTube Whisper Memos Safety Features - Official Apple Support Use Fall Detection with Apple Watch - Apple Support Use Crash Detection on iPhone or Apple Watch to call for help in an accident - Apple Support Set up your Medical ID in the Health app on your iPhone - Apple Support Make an emergency call from a locked iPhone - Apple Support If you lost your Apple TV remote - Apple Support Gridfinity Generator 774: Answering Common Tech Support Questions - Episodes - MPU Talk Find your lost AirPods with Find My - Apple Support Amazon Kindle Colorsoft Signature Edition Kindle Paperwhite Signature Edition 2024 Kindle Colorsoft and Paperwhite Review: No perfect choices – Six Colors Amazon Kindle Scribe Logitech MX Vertical Ergonomic Wireless Mouse

The era of artificial intelligence everything is here, and with it, come everyday surprises into exactly where the next AI tools might pop up.There are major corporations pushing customer support functions onto AI chatbots, Big Tech platforms offering AI image generation for social media posts, and even Google has defaulted to include AI-powered overviews into everyday searches.The next gold rush, it seems, is in AI, and for a group of technical and legal researchers at New York University and Cornell University, that could be a major problem.But to understand their concerns, there's some explanation needed first, and it starts with Apple's own plans for AI.Last October, Apple unveiled a service it is calling Apple Intelligence (“AI,” get it?), which provides the latest iPhones, iPads, and Mac computers with AI-powered writing tools, image generators, proof-reading, and more.One notable feature in Apple Intelligence is Apple's “notification summaries.” With Apple Intelligence, users can receive summarized versions of a day's worth of notifications from their apps. That could be useful for an onslaught of breaking news notifications, or for an old college group thread that won't shut up.The summaries themselves are hit-or-miss with users—one iPhone customer learned of his own breakup from an Apple Intelligence summary that said: “No longer in a relationship; wants belongings from the apartment.”What's more interesting about the summaries, though, is how they interact with Apple's messaging and text app, Messages.Messages is what is called an “end-to-end encrypted” messaging app. That means that only a message's sender and its recipient can read the message itself. Even Apple, which moves the message along from one iPhone to another, cannot read the message.But if Apple cannot read the messages sent on its own Messages app, then how is Apple Intelligence able to summarize them for users?That's one of the questions that Mallory Knodel and her team at New York University and Cornell University tried to answer with a new paper on the compatibility between AI tools and end-to-end encrypted messaging apps.Make no mistake, this research isn't into whether AI is “breaking” encryption by doing impressive computations at never-before-observed speeds. Instead, it's about whether or not the promise of end-to-end encryption—of confidentiality—can be upheld when the messages sent through that promise can be analyzed by separate AI tools.And while the question may sound abstract, it's far from being so. Already, AI bots can enter digital Zoom meetings to take notes. What happens if Zoom permits those same AI chatbots to enter meetings that users have chosen to be end-to-end encrypted? Is the chatbot another party to that conversation, and if so, what is the impact?Today, on the Lock and Code podcast with host David Ruiz, we speak with lead author and encryption expert Mallory Knodel on whether AI assistants can be compatible with end-to-end encrypted messaging apps, what motivations could sway current privacy champions into chasing AI development instead, and why these two technologies cannot co-exist in certain implementations.“An encrypted messaging app, at its essence is encryption, and you can't trade that away—the privacy or the confidentiality guarantees—for something else like AI if it's fundamentally incompatible with those features.”Tune in today.You can also find us on Apple Podcasts,

Due to overwhelming demand (>15x applications:slots), we are closing CFPs for AI Engineer Summit NYC today. Last call! Thanks, we'll be reaching out to all shortly!The world's top AI blogger and friend of every pod, Simon Willison, dropped a monster 2024 recap: Things we learned about LLMs in 2024. Brian of the excellent TechMeme Ride Home pinged us for a connection and a special crossover episode, our first in 2025. The target audience for this podcast is a tech-literate, but non-technical one. You can see Simon's notes for AI Engineers in his World's Fair Keynote.Timestamp* 00:00 Introduction and Guest Welcome* 01:06 State of AI in 2025* 01:43 Advancements in AI Models* 03:59 Cost Efficiency in AI* 06:16 Challenges and Competition in AI* 17:15 AI Agents and Their Limitations* 26:12 Multimodal AI and Future Prospects* 35:29 Exploring Video Avatar Companies* 36:24 AI Influencers and Their Future* 37:12 Simplifying Content Creation with AI* 38:30 The Importance of Credibility in AI* 41:36 The Future of LLM User Interfaces* 48:58 Local LLMs: A Growing Interest* 01:07:22 AI Wearables: The Next Big Thing* 01:10:16 Wrapping Up and Final ThoughtsTranscript[00:00:00] Introduction and Guest Welcome[00:00:00] Brian: Welcome to the first bonus episode of the Tech Meme Write Home for the year 2025. I'm your host as always, Brian McCullough. Listeners to the pod over the last year know that I have made a habit of quoting from Simon Willison when new stuff happens in AI from his blog. Simon has been, become a go to for many folks in terms of, you know, Analyzing things, criticizing things in the AI space.[00:00:33] Brian: I've wanted to talk to you for a long time, Simon. So thank you for coming on the show. No, it's a privilege to be here. And the person that made this connection happen is our friend Swyx, who has been on the show back, even going back to the, the Twitter Spaces days but also an AI guru in, in their own right Swyx, thanks for coming on the show also.[00:00:54] swyx (2): Thanks. I'm happy to be on and have been a regular listener, so just happy to [00:01:00] contribute as well.[00:01:00] Brian: And a good friend of the pod, as they say. Alright, let's go right into it.[00:01:06] State of AI in 2025[00:01:06] Brian: Simon, I'm going to do the most unfair, broad question first, so let's get it out of the way. The year 2025. Broadly, what is the state of AI as we begin this year?[00:01:20] Brian: Whatever you want to say, I don't want to lead the witness.[00:01:22] Simon: Wow. So many things, right? I mean, the big thing is everything's got really good and fast and cheap. Like, that was the trend throughout all of 2024. The good models got so much cheaper, they got so much faster, they got multimodal, right? The image stuff isn't even a surprise anymore.[00:01:39] Simon: They're growing video, all of that kind of stuff. So that's all really exciting.[00:01:43] Advancements in AI Models[00:01:43] Simon: At the same time, they didn't get massively better than GPT 4, which was a bit of a surprise. So that's sort of one of the open questions is, are we going to see huge, but I kind of feel like that's a bit of a distraction because GPT 4, but way cheaper, much larger context lengths, and it [00:02:00] can do multimodal.[00:02:01] Simon: is better, right? That's a better model, even if it's not.[00:02:05] Brian: What people were expecting or hoping, maybe not expecting is not the right word, but hoping that we would see another step change, right? Right. From like GPT 2 to 3 to 4, we were expecting or hoping that maybe we were going to see the next evolution in that sort of, yeah.[00:02:21] Brian: We[00:02:21] Simon: did see that, but not in the way we expected. We thought the model was just going to get smarter, and instead we got. Massive drops in, drops in price. We got all of these new capabilities. You can talk to the things now, right? They can do simulated audio input, all of that kind of stuff. And so it's kind of, it's interesting to me that the models improved in all of these ways we weren't necessarily expecting.[00:02:43] Simon: I didn't know it would be able to do an impersonation of Santa Claus, like a, you know, Talked to it through my phone and show it what I was seeing by the end of 2024. But yeah, we didn't get that GPT 5 step. And that's one of the big open questions is, is that actually just around the corner and we'll have a bunch of GPT 5 class models drop in the [00:03:00] next few months?[00:03:00] Simon: Or is there a limit?[00:03:03] Brian: If you were a betting man and wanted to put money on it, do you expect to see a phase change, step change in 2025?[00:03:11] Simon: I don't particularly for that, like, the models, but smarter. I think all of the trends we're seeing right now are going to keep on going, especially the inference time compute, right?[00:03:21] Simon: The trick that O1 and O3 are doing, which means that you can solve harder problems, but they cost more and it churns away for longer. I think that's going to happen because that's already proven to work. I don't know. I don't know. Maybe there will be a step change to a GPT 5 level, but honestly, I'd be completely happy if we got what we've got right now.[00:03:41] Simon: But cheaper and faster and more capabilities and longer contexts and so forth. That would be thrilling to me.[00:03:46] Brian: Digging into what you've just said one of the things that, by the way, I hope to link in the show notes to Simon's year end post about what, what things we learned about LLMs in 2024. Look for that in the show notes.[00:03:59] Cost Efficiency in AI[00:03:59] Brian: One of the things that you [00:04:00] did say that you alluded to even right there was that in the last year, you felt like the GPT 4 barrier was broken, like IE. Other models, even open source ones are now regularly matching sort of the state of the art.[00:04:13] Simon: Well, it's interesting, right? So the GPT 4 barrier was a year ago, the best available model was OpenAI's GPT 4 and nobody else had even come close to it.[00:04:22] Simon: And they'd been at the, in the lead for like nine months, right? That thing came out in what, February, March of, of 2023. And for the rest of 2023, nobody else came close. And so at the start of last year, like a year ago, the big question was, Why has nobody beaten them yet? Like, what do they know that the rest of the industry doesn't know?[00:04:40] Simon: And today, that I've counted 18 organizations other than GPT 4 who've put out a model which clearly beats that GPT 4 from a year ago thing. Like, maybe they're not better than GPT 4. 0, but that's, that, that, that barrier got completely smashed. And yeah, a few of those I've run on my laptop, which is wild to me.[00:04:59] Simon: Like, [00:05:00] it was very, very wild. It felt very clear to me a year ago that if you want GPT 4, you need a rack of 40, 000 GPUs just to run the thing. And that turned out not to be true. Like the, the, this is that big trend from last year of the models getting more efficient, cheaper to run, just as capable with smaller weights and so forth.[00:05:20] Simon: And I ran another GPT 4 model on my laptop this morning, right? Microsoft 5. 4 just came out. And that, if you look at the benchmarks, it's definitely, it's up there with GPT 4. 0. It's probably not as good when you actually get into the vibes of the thing, but it, it runs on my, it's a 14 gigabyte download and I can run it on a MacBook Pro.[00:05:38] Simon: Like who saw that coming? The most exciting, like the close of the year on Christmas day, just a few weeks ago, was when DeepSeek dropped their DeepSeek v3 model on Hugging Face without even a readme file. It was just like a giant binary blob that I can't run on my laptop. It's too big. But in all of the benchmarks, it's now by far the best available [00:06:00] open, open weights model.[00:06:01] Simon: Like it's, it's, it's beating the, the metalamas and so forth. And that was trained for five and a half million dollars, which is a tenth of the price that people thought it costs to train these things. So everything's trending smaller and faster and more efficient.[00:06:15] Brian: Well, okay.[00:06:16] Challenges and Competition in AI[00:06:16] Brian: I, I kind of was going to get to that later, but let's, let's combine this with what I was going to ask you next, which is, you know, you're talking, you know, Also in the piece about the LLM prices crashing, which I've even seen in projects that I'm working on, but explain Explain that to a general audience, because we hear all the time that LLMs are eye wateringly expensive to run, but what we're suggesting, and we'll come back to the cheap Chinese LLM, but first of all, for the end user, what you're suggesting is that we're starting to see the cost come down sort of in the traditional technology way of Of costs coming down over time,[00:06:49] Simon: yes, but very aggressively.[00:06:51] Simon: I mean, my favorite thing, the example here is if you look at GPT-3, so open AI's g, PT three, which was the best, a developed model in [00:07:00] 2022 and through most of 20 2023. That, the models that we have today, the OpenAI models are a hundred times cheaper. So there was a 100x drop in price for OpenAI from their best available model, like two and a half years ago to today.[00:07:13] Simon: And[00:07:14] Brian: just to be clear, not to train the model, but for the use of tokens and things. Exactly,[00:07:20] Simon: for running prompts through them. And then When you look at the, the really, the top tier model providers right now, I think, are OpenAI, Anthropic, Google, and Meta. And there are a bunch of others that I could list there as well.[00:07:32] Simon: Mistral are very good. The, the DeepSeq and Quen models have got great. There's a whole bunch of providers serving really good models. But even if you just look at the sort of big brand name providers, they all offer models now that are A fraction of the price of the, the, of the models we were using last year.[00:07:49] Simon: I think I've got some numbers that I threw into my blog entry here. Yeah. Like Gemini 1. 5 flash, that's Google's fast high quality model is [00:08:00] how much is that? It's 0. 075 dollars per million tokens. Like these numbers are getting, So we just do cents per million now,[00:08:09] swyx (2): cents per million,[00:08:10] Simon: cents per million makes, makes a lot more sense.[00:08:12] Simon: Yeah they have one model 1. 5 flash 8B, the absolute cheapest of the Google models, is 27 times cheaper than GPT 3. 5 turbo was a year ago. That's it. And GPT 3. 5 turbo, that was the cheap model, right? Now we've got something 27 times cheaper, and the Google, this Google one can do image recognition, it can do million token context, all of those tricks.[00:08:36] Simon: But it's, it's, it's very, it's, it really is startling how inexpensive some of this stuff has got.[00:08:41] Brian: Now, are we assuming that this, that happening is directly the result of competition? Because again, you know, OpenAI, and probably they're doing this for their own almost political reasons, strategic reasons, keeps saying, we're losing money on everything, even the 200.[00:08:56] Brian: So they probably wouldn't, the prices wouldn't be [00:09:00] coming down if there wasn't intense competition in this space.[00:09:04] Simon: The competition is absolutely part of it, but I have it on good authority from sources I trust that Google Gemini is not operating at a loss. Like, the amount of electricity to run a prompt is less than they charge you.[00:09:16] Simon: And the same thing for Amazon Nova. Like, somebody found an Amazon executive and got them to say, Yeah, we're not losing money on this. I don't know about Anthropic and OpenAI, but clearly that demonstrates it is possible to run these things at these ludicrously low prices and still not be running at a loss if you discount the Army of PhDs and the, the training costs and all of that kind of stuff.[00:09:36] Brian: One, one more for me before I let Swyx jump in here. To, to come back to DeepSeek and this idea that you could train, you know, a cutting edge model for 6 million. I, I was saying on the show, like six months ago, that if we are getting to the point where each new model It would cost a billion, ten billion, a hundred billion to train that.[00:09:54] Brian: At some point it would almost, only nation states would be able to train the new models. Do you [00:10:00] expect what DeepSeek and maybe others are proving to sort of blow that up? Or is there like some sort of a parallel track here that maybe I'm not technically, I don't have the mouse to understand the difference.[00:10:11] Brian: Is the model, are the models going to go, you know, Up to a hundred billion dollars or can we get them down? Sort of like DeepSeek has proven[00:10:18] Simon: so I'm the wrong person to answer that because I don't work in the lab training these models. So I can give you my completely uninformed opinion, which is, I felt like the DeepSeek thing.[00:10:27] Simon: That was a bomb shell. That was an absolute bombshell when they came out and said, Hey, look, we've trained. One of the best available models and it cost us six, five and a half million dollars to do it. I feel, and they, the reason, one of the reasons it's so efficient is that we put all of these export controls in to stop Chinese companies from giant buying GPUs.[00:10:44] Simon: So they've, were forced to be, go as efficient as possible. And yet the fact that they've demonstrated that that's possible to do. I think it does completely tear apart this, this, this mental model we had before that yeah, the training runs just keep on getting more and more expensive and the number of [00:11:00] organizations that can afford to run these training runs keeps on shrinking.[00:11:03] Simon: That, that's been blown out of the water. So yeah, that's, again, this was our Christmas gift. This was the thing they dropped on Christmas day. Yeah, it makes me really optimistic that we can, there are, It feels like there was so much low hanging fruit in terms of the efficiency of both inference and training and we spent a whole bunch of last year exploring that and getting results from it.[00:11:22] Simon: I think there's probably a lot left. I think there's probably, well, I would not be surprised to see even better models trained spending even less money over the next six months.[00:11:31] swyx (2): Yeah. So I, I think there's a unspoken angle here on what exactly the Chinese labs are trying to do because DeepSea made a lot of noise.[00:11:41] swyx (2): so much for joining us for around the fact that they train their model for six million dollars and nobody quite quite believes them. Like it's very, very rare for a lab to trumpet the fact that they're doing it for so cheap. They're not trying to get anyone to buy them. So why [00:12:00] are they doing this? They make it very, very obvious.[00:12:05] swyx (2): Deepseek is about 150 employees. It's an order of magnitude smaller than at least Anthropic and maybe, maybe more so for OpenAI. And so what's, what's the end game here? Are they, are they just trying to show that the Chinese are better than us?[00:12:21] Simon: So Deepseek, it's the arm of a hedge, it's a, it's a quant fund, right?[00:12:25] Simon: It's an algorithmic quant trading thing. So I, I, I would love to get more insight into how that organization works. My assumption from what I've seen is it looks like they're basically just flexing. They're like, hey, look at how utterly brilliant we are with this amazing thing that we've done. And it's, it's working, right?[00:12:43] Simon: They but, and so is that it? Are they, is this just their kind of like, this is, this is why our company is so amazing. Look at this thing that we've done, or? I don't know. I'd, I'd love to get Some insight from, from within that industry as to, as to how that's all playing out.[00:12:57] swyx (2): The, the prevailing theory among the Local Llama [00:13:00] crew and the Twitter crew that I indexed for my newsletter is that there is some amount of copying going on.[00:13:06] swyx (2): It's like Sam Altman you know, tweet, tweeting about how they're being copied. And then also there's this, there, there are other sort of opening eye employees that have said, Stuff that is similar that DeepSeek's rate of progress is how U. S. intelligence estimates the number of foreign spies embedded in top labs.[00:13:22] swyx (2): Because a lot of these ideas do spread around, but they surprisingly have a very high density of them in the DeepSeek v3 technical report. So it's, it's interesting. We don't know how much, how many, how much tokens. I think that, you know, people have run analysis on how often DeepSeek thinks it is cloud or thinks it is opening GPC 4.[00:13:40] swyx (2): Thanks for watching! And we don't, we don't know. We don't know. I think for me, like, yeah, we'll, we'll, we basically will never know as, as external commentators. I think what's interesting is how, where does this go? Is there a logical floor or bottom by my estimations for the same amount of ELO started last year to the end of last year cost went down by a thousand X for the [00:14:00] GPT, for, for GPT 4 intelligence.[00:14:02] swyx (2): Would, do they go down a thousand X this year?[00:14:04] Simon: That's a fascinating question. Yeah.[00:14:06] swyx (2): Is there a Moore's law going on, or did we just get a one off benefit last year for some weird reason?[00:14:14] Simon: My uninformed hunch is low hanging fruit. I feel like up until a year ago, people haven't been focusing on efficiency at all. You know, it was all about, what can we get these weird shaped things to do?[00:14:24] Simon: And now once we've sort of hit that, okay, we know that we can get them to do what GPT 4 can do, When thousands of researchers around the world all focus on, okay, how do we make this more efficient? What are the most important, like, how do we strip out all of the weights that have stuff in that doesn't really matter?[00:14:39] Simon: All of that kind of thing. So yeah, maybe that was it. Maybe 2024 was a freak year of all of the low hanging fruit coming out at once. And we'll actually see a reduction in the, in that rate of improvement in terms of efficiency. I wonder, I mean, I think we'll know for sure in about three months time if that trend's going to continue or not.[00:14:58] swyx (2): I agree. You know, I [00:15:00] think the other thing that you mentioned that DeepSeq v3 was the gift that was given from DeepSeq over Christmas, but I feel like the other thing that might be underrated was DeepSeq R1,[00:15:11] Speaker 4: which is[00:15:13] swyx (2): a reasoning model you can run on your laptop. And I think that's something that a lot of people are looking ahead to this year.[00:15:18] swyx (2): Oh, did they[00:15:18] Simon: release the weights for that one?[00:15:20] swyx (2): Yeah.[00:15:21] Simon: Oh my goodness, I missed that. I've been playing with the quen. So the other great, the other big Chinese AI app is Alibaba's quen. Actually, yeah, I, sorry, R1 is an API available. Yeah. Exactly. When that's really cool. So Alibaba's Quen have released two reasoning models that I've run on my laptop.[00:15:38] Simon: Now there was, the first one was Q, Q, WQ. And then the second one was QVQ because the second one's a vision model. So you can like give it vision puzzles and a prompt that these things, they are so much fun to run. Because they think out loud. It's like the OpenAR 01 sort of hides its thinking process. The Query ones don't.[00:15:59] Simon: They just, they [00:16:00] just churn away. And so you'll give it a problem and it will output literally dozens of paragraphs of text about how it's thinking. My favorite thing that happened with QWQ is I asked it to draw me a pelican on a bicycle in SVG. That's like my standard stupid prompt. And for some reason it thought in Chinese.[00:16:18] Simon: It spat out a whole bunch of like Chinese text onto my terminal on my laptop, and then at the end it gave me quite a good sort of artistic pelican on a bicycle. And I ran it all through Google Translate, and yeah, it was like, it was contemplating the nature of SVG files as a starting point. And the fact that my laptop can think in Chinese now is so delightful.[00:16:40] Simon: It's so much fun watching you do that.[00:16:43] swyx (2): Yeah, I think Andrej Karpathy was saying, you know, we, we know that we have achieved proper reasoning inside of these models when they stop thinking in English, and perhaps the best form of thought is in Chinese. But yeah, for listeners who don't know Simon's blog he always, whenever a new model comes out, you, I don't know how you do it, but [00:17:00] you're always the first to run Pelican Bench on these models.[00:17:02] swyx (2): I just did it for 5.[00:17:05] Simon: Yeah.[00:17:07] swyx (2): So I really appreciate that. You should check it out. These are not theoretical. Simon's blog actually shows them.[00:17:12] Brian: Let me put on the investor hat for a second.[00:17:15] AI Agents and Their Limitations[00:17:15] Brian: Because from the investor side of things, a lot of the, the VCs that I know are really hot on agents, and this is the year of agents, but last year was supposed to be the year of agents as well. Lots of money flowing towards, And Gentic startups.[00:17:32] Brian: But in in your piece that again, we're hopefully going to have linked in the show notes, you sort of suggest there's a fundamental flaw in AI agents as they exist right now. Let me let me quote you. And then I'd love to dive into this. You said, I remain skeptical as to their ability based once again, on the Challenge of gullibility.[00:17:49] Brian: LLMs believe anything you tell them, any systems that attempt to make meaningful decisions on your behalf, will run into the same roadblock. How good is a travel agent, or a digital assistant, or even a research tool, if it [00:18:00] can't distinguish truth from fiction? So, essentially, what you're suggesting is that the state of the art now that allows agents is still, it's still that sort of 90 percent problem, the edge problem, getting to the Or, or, or is there a deeper flaw?[00:18:14] Brian: What are you, what are you saying there?[00:18:16] Simon: So this is the fundamental challenge here and honestly my frustration with agents is mainly around definitions Like any if you ask anyone who says they're working on agents to define agents You will get a subtly different definition from each person But everyone always assumes that their definition is the one true one that everyone else understands So I feel like a lot of these agent conversations, people talking past each other because one person's talking about the, the sort of travel agent idea of something that books things on your behalf.[00:18:41] Simon: Somebody else is talking about LLMs with tools running in a loop with a cron job somewhere and all of these different things. You, you ask academics and they'll laugh at you because they've been debating what agents mean for over 30 years at this point. It's like this, this long running, almost sort of an in joke in that community.[00:18:57] Simon: But if we assume that for this purpose of this conversation, an [00:19:00] agent is something that, Which you can give a job and it goes off and it does that thing for you like, like booking travel or things like that. The fundamental challenge is, it's the reliability thing, which comes from this gullibility problem.[00:19:12] Simon: And a lot of my, my interest in this originally came from when I was thinking about prompt injections as a source of this form of attack against LLM systems where you deliberately lay traps out there for this LLM to stumble across,[00:19:24] Brian: and which I should say you have been banging this drum that no one's gotten any far, at least on solving this, that I'm aware of, right.[00:19:31] Brian: Like that's still an open problem. The two years.[00:19:33] Simon: Yeah. Right. We've been talking about this problem and like, a great illustration of this was Claude so Anthropic released Claude computer use a few months ago. Fantastic demo. You could fire up a Docker container and you could literally tell it to do something and watch it open a web browser and navigate to a webpage and click around and so forth.[00:19:51] Simon: Really, really, really interesting and fun to play with. And then, um. One of the first demos somebody tried was, what if you give it a web page that says download and run this [00:20:00] executable, and it did, and the executable was malware that added it to a botnet. So the, the very first most obvious dumb trick that you could play on this thing just worked, right?[00:20:10] Simon: So that's obviously a really big problem. If I'm going to send something out to book travel on my behalf, I mean, it's hard enough for me to figure out which airlines are trying to scam me and which ones aren't. Do I really trust a language model that believes the literal truth of anything that's presented to it to go out and do those things?[00:20:29] swyx (2): Yeah I definitely think there's, it's interesting to see Anthropic doing this because they used to be the safety arm of OpenAI that split out and said, you know, we're worried about letting this thing out in the wild and here they are enabling computer use for agents. Thanks. The, it feels like things have merged.[00:20:49] swyx (2): You know, I'm, I'm also fairly skeptical about, you know, this always being the, the year of Linux on the desktop. And this is the equivalent of this being the year of agents that people [00:21:00] are not predicting so much as wishfully thinking and hoping and praying for their companies and agents to work.[00:21:05] swyx (2): But I, I feel like things are. Coming along a little bit. It's to me, it's kind of like self driving. I remember in 2014 saying that self driving was just around the corner. And I mean, it kind of is, you know, like in, in, in the Bay area. You[00:21:17] Simon: get in a Waymo and you're like, Oh, this works. Yeah, but it's a slow[00:21:21] swyx (2): cook.[00:21:21] swyx (2): It's a slow cook over the next 10 years. We're going to hammer out these things and the cynical people can just point to all the flaws, but like, there are measurable or concrete progress steps that are being made by these builders.[00:21:33] Simon: There is one form of agent that I believe in. I believe, mostly believe in the research assistant form of agents.[00:21:39] Simon: The thing where you've got a difficult problem and, and I've got like, I'm, I'm on the beta for the, the Google Gemini 1. 5 pro with deep research. I think it's called like these names, these names. Right. But. I've been using that. It's good, right? You can give it a difficult problem and it tells you, okay, I'm going to look at 56 different websites [00:22:00] and it goes away and it dumps everything to its context and it comes up with a report for you.[00:22:04] Simon: And it's not, it won't work against adversarial websites, right? If there are websites with deliberate lies in them, it might well get caught out. Most things don't have that as a problem. And so I've had some answers from that which were genuinely really valuable to me. And that feels to me like, I can see how given existing LLM tech, especially with Google Gemini with its like million token contacts and Google with their crawl of the entire web and their, they've got like search, they've got search and cache, they've got a cache of every page and so forth.[00:22:35] Simon: That makes sense to me. And that what they've got right now, I don't think it's, it's not as good as it can be, obviously, but it's, it's, it's, it's a real useful thing, which they're going to start rolling out. So, you know, Perplexity have been building the same thing for a couple of years. That, that I believe in.[00:22:50] Simon: You know, if you tell me that you're going to have an agent that's a research assistant agent, great. The coding agents I mean, chat gpt code interpreter, Nearly two years [00:23:00] ago, that thing started writing Python code, executing the code, getting errors, rewriting it to fix the errors. That pattern obviously works.[00:23:07] Simon: That works really, really well. So, yeah, coding agents that do that sort of error message loop thing, those are proven to work. And they're going to keep on getting better, and that's going to be great. The research assistant agents are just beginning to get there. The things I'm critical of are the ones where you trust, you trust this thing to go out and act autonomously on your behalf, and make decisions on your behalf, especially involving spending money, like that.[00:23:31] Simon: I don't see that working for a very long time. That feels to me like an AGI level problem.[00:23:37] swyx (2): It's it's funny because I think Stripe actually released an agent toolkit which is one of the, the things I featured that is trying to enable these agents each to have a wallet that they can go and spend and have, basically, it's a virtual card.[00:23:49] swyx (2): It's not that, not that difficult with modern infrastructure. can[00:23:51] Simon: stick a 50 cap on it, then at least it's an honor. Can't lose more than 50.[00:23:56] Brian: You know I don't, I don't know if either of you know Rafat Ali [00:24:00] he runs Skift, which is a, a travel news vertical. And he, he, he constantly laughs at the fact that every agent thing is, we're gonna get rid of booking a, a plane flight for you, you know?[00:24:11] Brian: And, and I would point out that, like, historically, when the web started, the first thing everyone talked about is, You can go online and book a trip, right? So it's funny for each generation of like technological advance. The thing they always want to kill is the travel agent. And now they want to kill the webpage travel agent.[00:24:29] Simon: Like it's like I use Google flight search. It's great, right? If you gave me an agent to do that for me, it would save me, I mean, maybe 15 seconds of typing in my things, but I still want to see what my options are and go, yeah, I'm not flying on that airline, no matter how cheap they are.[00:24:44] swyx (2): Yeah. For listeners, go ahead.[00:24:47] swyx (2): For listeners, I think, you know, I think both of you are pretty positive on NotebookLM. And you know, we, we actually interviewed the NotebookLM creators, and there are actually two internal agents going on internally. The reason it takes so long is because they're running an agent loop [00:25:00] inside that is fairly autonomous, which is kind of interesting.[00:25:01] swyx (2): For one,[00:25:02] Simon: for a definition of agent loop, if you picked that particularly well. For one definition. And you're talking about the podcast side of this, right?[00:25:07] swyx (2): Yeah, the podcast side of things. They have a there's, there's going to be a new version coming out that, that we'll be featuring at our, at our conference.[00:25:14] Simon: That one's fascinating to me. Like NotebookLM, I think it's two products, right? On the one hand, it's actually a very good rag product, right? You dump a bunch of things in, you can run searches, that, that, it does a good job of. And then, and then they added the, the podcast thing. It's a bit of a, it's a total gimmick, right?[00:25:30] Simon: But that gimmick got them attention, because they had a great product that nobody paid any attention to at all. And then you add the unfeasibly good voice synthesis of the podcast. Like, it's just, it's, it's, it's the lesson.[00:25:43] Brian: It's the lesson of mid journey and stuff like that. If you can create something that people can post on socials, you don't have to lift a finger again to do any marketing for what you're doing.[00:25:53] Brian: Let me dig into Notebook LLM just for a second as a podcaster. As a [00:26:00] gimmick, it makes sense, and then obviously, you know, you dig into it, it sort of has problems around the edges. It's like, it does the thing that all sort of LLMs kind of do, where it's like, oh, we want to Wrap up with a conclusion.[00:26:12] Multimodal AI and Future Prospects[00:26:12] Brian: I always call that like the the eighth grade book report paper problem where it has to have an intro and then, you know But that's sort of a thing where because I think you spoke about this again in your piece at the year end About how things are going multimodal and how things are that you didn't expect like, you know vision and especially audio I think So that's another thing where, at least over the last year, there's been progress made that maybe you, you didn't think was coming as quick as it came.[00:26:43] Simon: I don't know. I mean, a year ago, we had one really good vision model. We had GPT 4 vision, was, was, was very impressive. And Google Gemini had just dropped Gemini 1. 0, which had vision, but nobody had really played with it yet. Like Google hadn't. People weren't taking Gemini [00:27:00] seriously at that point. I feel like it was 1.[00:27:02] Simon: 5 Pro when it became apparent that actually they were, they, they got over their hump and they were building really good models. And yeah, and they, to be honest, the video models are mostly still using the same trick. The thing where you divide the video up into one image per second and you dump that all into the context.[00:27:16] Simon: So maybe it shouldn't have been so surprising to us that long context models plus vision meant that the video was, was starting to be solved. Of course, it didn't. Not being, you, what you really want with videos, you want to be able to do the audio and the images at the same time. And I think the models are beginning to do that now.[00:27:33] Simon: Like, originally, Gemini 1. 5 Pro originally ignored the audio. It just did the, the, like, one frame per second video trick. As far as I can tell, the most recent ones are actually doing pure multimodal. But the things that opens up are just extraordinary. Like, the the ChatGPT iPhone app feature that they shipped as one of their 12 days of, of OpenAI, I really can be having a conversation and just turn on my video camera and go, Hey, what kind of tree is [00:28:00] this?[00:28:00] Simon: And so forth. And it works. And for all I know, that's just snapping a like picture once a second and feeding it into the model. The, the, the things that you can do with that as an end user are extraordinary. Like that, that to me, I don't think most people have cottoned onto the fact that you can now stream video directly into a model because it, it's only a few weeks old.[00:28:22] Simon: Wow. That's a, that's a, that's a, that's Big boost in terms of what kinds of things you can do with this stuff. Yeah. For[00:28:30] swyx (2): people who are not that close I think Gemini Flashes free tier allows you to do something like capture a photo, one photo every second or a minute and leave it on 24, seven, and you can prompt it to do whatever.[00:28:45] swyx (2): And so you can effectively have your own camera app or monitoring app that that you just prompt and it detects where it changes. It detects for, you know, alerts or anything like that, or describes your day. You know, and, and, and the fact that this is free I think [00:29:00] it's also leads into the previous point of it being the prices haven't come down a lot.[00:29:05] Simon: And even if you're paying for this stuff, like a thing that I put in my blog entry is I ran a calculation on what it would cost to process 68, 000 photographs in my photo collection, and for each one just generate a caption, and using Gemini 1. 5 Flash 8B, it would cost me 1. 68 to process 68, 000 images, which is, I mean, that, that doesn't make sense.[00:29:28] Simon: None of that makes sense. Like it's, it's a, for one four hundredth of a cent per image to generate captions now. So you can see why feeding in a day's worth of video just isn't even very expensive to process.[00:29:40] swyx (2): Yeah, I'll tell you what is expensive. It's the other direction. So we're here, we're talking about consuming video.[00:29:46] swyx (2): And this year, we also had a lot of progress, like probably one of the most excited, excited, anticipated launches of the year was Sora. We actually got Sora. And less exciting.[00:29:55] Simon: We did, and then VO2, Google's Sora, came out like three [00:30:00] days later and upstaged it. Like, Sora was exciting until VO2 landed, which was just better.[00:30:05] swyx (2): In general, I feel the media, or the social media, has been very unfair to Sora. Because what was released to the world, generally available, was Sora Lite. It's the distilled version of Sora, right? So you're, I did not[00:30:16] Simon: realize that you're absolutely comparing[00:30:18] swyx (2): the, the most cherry picked version of VO two, the one that they published on the marketing page to the, the most embarrassing version of the soa.[00:30:25] swyx (2): So of course it's gonna look bad, so, well, I got[00:30:27] Simon: access to the VO two I'm in the VO two beta and I've been poking around with it and. Getting it to generate pelicans on bicycles and stuff. I would absolutely[00:30:34] swyx (2): believe that[00:30:35] Simon: VL2 is actually better. Is Sora, so is full fat Sora coming soon? Do you know, when, when do we get to play with that one?[00:30:42] Simon: No one's[00:30:43] swyx (2): mentioned anything. I think basically the strategy is let people play around with Sora Lite and get info there. But the, the, keep developing Sora with the Hollywood studios. That's what they actually care about. Gotcha. Like the rest of us. Don't really know what to do with the video anyway. Right.[00:30:59] Simon: I mean, [00:31:00] that's my thing is I realized that for generative images and images and video like images We've had for a few years and I don't feel like they've broken out into the talented artist community yet Like lots of people are having fun with them and doing and producing stuff. That's kind of cool to look at but what I want you know that that movie everything everywhere all at once, right?[00:31:20] Simon: One, one ton of Oscars, utterly amazing film. The VFX team for that were five people, some of whom were watching YouTube videos to figure out what to do. My big question for, for Sora and and and Midjourney and stuff, what happens when a creative team like that starts using these tools? I want the creative geniuses behind everything, everywhere all at once.[00:31:40] Simon: What are they going to be able to do with this stuff in like a few years time? Because that's really exciting to me. That's where you take artists who are at the very peak of their game. Give them these new capabilities and see, see what they can do with them.[00:31:52] swyx (2): I should, I know a little bit here. So it should mention that, that team actually used RunwayML.[00:31:57] swyx (2): So there was, there was,[00:31:57] Simon: yeah.[00:31:59] swyx (2): I don't know how [00:32:00] much I don't. So, you know, it's possible to overstate this, but there are people integrating it. Generated video within their workflow, even pre SORA. Right, because[00:32:09] Brian: it's not, it's not the thing where it's like, okay, tomorrow we'll be able to do a full two hour movie that you prompt with three sentences.[00:32:15] Brian: It is like, for the very first part of, of, you know video effects in film, it's like, if you can get that three second clip, if you can get that 20 second thing that they did in the matrix that blew everyone's minds and took a million dollars or whatever to do, like, it's the, it's the little bits and pieces that they can fill in now that it's probably already there.[00:32:34] swyx (2): Yeah, it's like, I think actually having a layered view of what assets people need and letting AI fill in the low value assets. Right, like the background video, the background music and, you know, sometimes the sound effects. That, that maybe, maybe more palatable maybe also changes the, the way that you evaluate the stuff that's coming out.[00:32:57] swyx (2): Because people tend to, in social media, try to [00:33:00] emphasize foreground stuff, main character stuff. So you really care about consistency, and you, you really are bothered when, like, for example, Sorad. Botch's image generation of a gymnast doing flips, which is horrible. It's horrible. But for background crowds, like, who cares?[00:33:18] Brian: And by the way, again, I was, I was a film major way, way back in the day, like, that's how it started. Like things like Braveheart, where they filmed 10 people on a field, and then the computer could turn it into 1000 people on a field. Like, that's always been the way it's around the margins and in the background that first comes in.[00:33:36] Brian: The[00:33:36] Simon: Lord of the Rings movies were over 20 years ago. Although they have those giant battle sequences, which were very early, like, I mean, you could almost call it a generative AI approach, right? They were using very sophisticated, like, algorithms to model out those different battles and all of that kind of stuff.[00:33:52] Simon: Yeah, I know very little. I know basically nothing about film production, so I try not to commentate on it. But I am fascinated to [00:34:00] see what happens when, when these tools start being used by the real, the people at the top of their game.[00:34:05] swyx (2): I would say like there's a cultural war that is more that being fought here than a technology war.[00:34:11] swyx (2): Most of the Hollywood people are against any form of AI anyway, so they're busy Fighting that battle instead of thinking about how to adopt it and it's, it's very fringe. I participated here in San Francisco, one generative AI video creative hackathon where the AI positive artists actually met with technologists like myself and then we collaborated together to build short films and that was really nice and I think, you know, I'll be hosting some of those in my events going forward.[00:34:38] swyx (2): One thing that I think like I want to leave it. Give people a sense of it's like this is a recap of last year But then sometimes it's useful to walk away as well with like what can we expect in the future? I don't know if you got anything. I would also call out that the Chinese models here have made a lot of progress Hyde Law and Kling and God knows who like who else in the video arena [00:35:00] Also making a lot of progress like surprising him like I think maybe actually Chinese China is surprisingly ahead with regards to Open8 at least, but also just like specific forms of video generation.[00:35:12] Simon: Wouldn't it be interesting if a film industry sprung up in a country that we don't normally think of having a really strong film industry that was using these tools? Like, that would be a fascinating sort of angle on this. Mm hmm. Mm hmm.[00:35:25] swyx (2): Agreed. I, I, I Oh, sorry. Go ahead.[00:35:29] Exploring Video Avatar Companies[00:35:29] swyx (2): Just for people's Just to put it on people's radar as well, Hey Jen, there's like there's a category of video avatar companies that don't specifically, don't specialize in general video.[00:35:41] swyx (2): They only do talking heads, let's just say. And HeyGen sings very well.[00:35:45] Brian: Swyx, you know that that's what I've been using, right? Like, have, have I, yeah, right. So, if you see some of my recent YouTube videos and things like that, where, because the beauty part of the HeyGen thing is, I, I, I don't want to use the robot voice, so [00:36:00] I record the mp3 file for my computer, And then I put that into HeyGen with the avatar that I've trained it on, and all it does is the lip sync.[00:36:09] Brian: So it looks, it's not 100 percent uncanny valley beatable, but it's good enough that if you weren't looking for it, it's just me sitting there doing one of my clips from the show. And, yeah, so, by the way, HeyGen. Shout out to them.[00:36:24] AI Influencers and Their Future[00:36:24] swyx (2): So I would, you know, in terms of like the look ahead going, like, looking, reviewing 2024, looking at trends for 2025, I would, they basically call this out.[00:36:33] swyx (2): Meta tried to introduce AI influencers and failed horribly because they were just bad at it. But at some point that there will be more and more basically AI influencers Not in a way that Simon is but in a way that they are not human.[00:36:50] Simon: Like the few of those that have done well, I always feel like they're doing well because it's a gimmick, right?[00:36:54] Simon: It's a it's it's novel and fun to like Like that, the AI Seinfeld thing [00:37:00] from last year, the Twitch stream, you know, like those, if you're the only one or one of just a few doing that, you'll get, you'll attract an audience because it's an interesting new thing. But I just, I don't know if that's going to be sustainable longer term or not.[00:37:11] Simon: Like,[00:37:12] Simplifying Content Creation with AI[00:37:12] Brian: I'm going to tell you, Because I've had discussions, I can't name the companies or whatever, but, so think about the workflow for this, like, now we all know that on TikTok and Instagram, like, holding up a phone to your face, and doing like, in my car video, or walking, a walk and talk, you know, that's, that's very common, but also, if you want to do a professional sort of talking head video, you still have to sit in front of a camera, you still have to do the lighting, you still have to do the video editing, versus, if you can just record, what I'm saying right now, the last 30 seconds, If you clip that out as an mp3 and you have a good enough avatar, then you can put that avatar in front of Times Square, on a beach, or whatever.[00:37:50] Brian: So, like, again for creators, the reason I think Simon, we're on the verge of something, it, it just, it's not going to, I think it's not, oh, we're going to have [00:38:00] AI avatars take over, it'll be one of those things where it takes another piece of the workflow out and simplifies it. I'm all[00:38:07] Simon: for that. I, I always love this stuff.[00:38:08] Simon: I like tools. Tools that help human beings do more. Do more ambitious things. I'm always in favor of, like, that, that, that's what excites me about this entire field.[00:38:17] swyx (2): Yeah. We're, we're looking into basically creating one for my podcast. We have this guy Charlie, he's Australian. He's, he's not real, but he pre, he opens every show and we are gonna have him present all the shorts.[00:38:29] Simon: Yeah, go ahead.[00:38:30] The Importance of Credibility in AI[00:38:30] Simon: The thing that I keep coming back to is this idea of credibility like in a world that is full of like AI generated everything and so forth It becomes even more important that people find the sources of information that they trust and find people and find Sources that are credible and I feel like that's the one thing that LLMs and AI can never have is credibility, right?[00:38:49] Simon: ChatGPT can never stake its reputation on telling you something useful and interesting because That means nothing, right? It's a matrix multiplication. It depends on who prompted it and so forth. So [00:39:00] I'm always, and this is when I'm blogging as well, I'm always looking for, okay, who are the reliable people who will tell me useful, interesting information who aren't just going to tell me whatever somebody's paying them to tell, tell them, who aren't going to, like, type a one sentence prompt into an LLM and spit out an essay and stick it online.[00:39:16] Simon: And that, that to me, Like, earning that credibility is really important. That's why a lot of my ethics around the way that I publish are based on the idea that I want people to trust me. I want to do things that, that gain credibility in people's eyes so they will come to me for information as a trustworthy source.[00:39:32] Simon: And it's the same for the sources that I'm, I'm consulting as well. So that's something I've, I've been thinking a lot about that sort of credibility focus on this thing for a while now.[00:39:40] swyx (2): Yeah, you can layer or structure credibility or decompose it like so one thing I would put in front of you I'm not saying that you should Agree with this or accept this at all is that you can use AI to generate different Variations and then and you pick you as the final sort of last mile person that you pick The last output and [00:40:00] you put your stamp of credibility behind that like that everything's human reviewed instead of human origin[00:40:04] Simon: Yeah, if you publish something you need to be able to put it on the ground Publishing it.[00:40:08] Simon: You need to say, I will put my name to this. I will attach my credibility to this thing. And if you're willing to do that, then, then that's great.[00:40:16] swyx (2): For creators, this is huge because there's a fundamental asymmetry between starting with a blank slate versus choosing from five different variations.[00:40:23] Brian: Right.[00:40:24] Brian: And also the key thing that you just said is like, if everything that I do, if all of the words were generated by an LLM, if the voice is generated by an LLM. If the video is also generated by the LLM, then I haven't done anything, right? But if, if one or two of those, you take a shortcut, but it's still, I'm willing to sign off on it.[00:40:47] Brian: Like, I feel like that's where I feel like people are coming around to like, this is maybe acceptable, sort of.[00:40:53] Simon: This is where I've been pushing the definition. I love the term slop. Where I've been pushing the definition of slop as AI generated [00:41:00] content that is both unrequested and unreviewed and the unreviewed thing is really important like that's the thing that elevates something from slop to not slop is if A human being has reviewed it and said, you know what, this is actually worth other people's time.[00:41:12] Simon: And again, I'm willing to attach my credibility to it and say, hey, this is worthwhile.[00:41:16] Brian: It's, it's, it's the cura curational, curatorial and editorial part of it that no matter what the tools are to do shortcuts, to do, as, as Swyx is saying choose between different edits or different cuts, but in the end, if there's a curatorial mind, Or editorial mind behind it.[00:41:32] Brian: Let me I want to wedge this in before we start to close.[00:41:36] The Future of LLM User Interfaces[00:41:36] Brian: One of the things coming back to your year end piece that has been a something that I've been banging the drum about is when you're talking about LLMs. Getting harder to use. You said most users are thrown in at the deep end.[00:41:48] Brian: The default LLM chat UI is like taking brand new computer users, dropping them into a Linux terminal and expecting them to figure it all out. I mean, it's, it's literally going back to the command line. The command line was defeated [00:42:00] by the GUI interface. And this is what I've been banging the drum about is like, this cannot be.[00:42:05] Brian: The user interface, what we have now cannot be the end result. Do you see any hints or seeds of a GUI moment for LLM interfaces?[00:42:17] Simon: I mean, it has to happen. It absolutely has to happen. The the, the, the, the usability of these things is turning into a bit of a crisis. And we are at least seeing some really interesting innovation in little directions.[00:42:28] Simon: Just like OpenAI's chat GPT canvas thing that they just launched. That is at least. Going a little bit more interesting than just chat, chats and responses. You know, you can, they're exploring that space where you're collaborating with an LLM. You're both working in the, on the same document. That makes a lot of sense to me.[00:42:44] Simon: Like that, that feels really smart. The one of the best things is still who was it who did the, the UI where you could, they had a drawing UI where you draw an interface and click a button. TL draw would then make it real thing. That was spectacular, [00:43:00] absolutely spectacular, like, alternative vision of how you'd interact with these models.[00:43:05] Simon: Because yeah, the and that's, you know, so I feel like there is so much scope for innovation there and it is beginning to happen. Like, like, I, I feel like most people do understand that we need to do better in terms of interfaces that both help explain what's going on and give people better tools for working with models.[00:43:23] Simon: I was going to say, I want to[00:43:25] Brian: dig a little deeper into this because think of the conceptual idea behind the GUI, which is instead of typing into a command line open word. exe, it's, you, you click an icon, right? So that's abstracting away sort of the, again, the programming stuff that like, you know, it's, it's a, a, a child can tap on an iPad and, and make a program open, right?[00:43:47] Brian: The problem it seems to me right now with how we're interacting with LLMs is it's sort of like you know a dumb robot where it's like you poke it and it goes over here, but no, I want it, I want to go over here so you poke it this way and you can't get it exactly [00:44:00] right, like, what can we abstract away from the From the current, what's going on that, that makes it more fine tuned and easier to get more precise.[00:44:12] Brian: You see what I'm saying?[00:44:13] Simon: Yes. And the this is the other trend that I've been following from the last year, which I think is super interesting. It's the, the prompt driven UI development thing. Basically, this is the pattern where Claude Artifacts was the first thing to do this really well. You type in a prompt and it goes, Oh, I should answer that by writing a custom HTML and JavaScript application for you that does a certain thing.[00:44:35] Simon: And when you think about that take and since then it turns out This is easy, right? Every decent LLM can produce HTML and JavaScript that does something useful. So we've actually got this alternative way of interacting where they can respond to your prompt with an interactive custom interface that you can work with.[00:44:54] Simon: People haven't quite wired those back up again. Like, ideally, I'd want the LLM ask me a [00:45:00] question where it builds me a custom little UI, For that question, and then it gets to see how I interacted with that. I don't know why, but that's like just such a small step from where we are right now. But that feels like such an obvious next step.[00:45:12] Simon: Like an LLM, why should it, why should you just be communicating with, with text when it can build interfaces on the fly that let you select a point on a map or or move like sliders up and down. It's gonna create knobs and dials. I keep saying knobs and dials. right. We can do that. And the LLMs can build, and Claude artifacts will build you a knobs and dials interface.[00:45:34] Simon: But at the moment they haven't closed the loop. When you twiddle those knobs, Claude doesn't see what you were doing. They're going to close that loop. I'm, I'm shocked that they haven't done it yet. So yeah, I think there's so much scope for innovation and there's so much scope for doing interesting stuff with that model where the LLM, anything you can represent in SVG, which is almost everything, can now be part of that ongoing conversation.[00:45:59] swyx (2): Yeah, [00:46:00] I would say the best executed version of this I've seen so far is Bolt where you can literally type in, make a Spotify clone, make an Airbnb clone, and it actually just does that for you zero shot with a nice design.[00:46:14] Simon: There's a benchmark for that now. The LMRena people now have a benchmark that is zero shot app, app generation, because all of the models can do it.[00:46:22] Simon: Like it's, it's, I've started figuring out. I'm building my own version of this for my own project, because I think within six months. I think it'll just be an expected feature. Like if you have a web application, why don't you have a thing where, oh, look, the, you can add a custom, like, so for my dataset data exploration project, I want you to be able to do things like conjure up a dashboard, just via a prompt.[00:46:43] Simon: You say, oh, I need a pie chart and a bar chart and put them next to each other, and then have a form where submitting the form inserts a row into my database table. And this is all suddenly feasible. It's, it's, it's not even particularly difficult to do, which is great. Utterly bizarre that these things are now easy.[00:47:00][00:47:00] swyx (2): I think for a general audience, that is what I would highlight, that software creation is becoming easier and easier. Gemini is now available in Gmail and Google Sheets. I don't write my own Google Sheets formulas anymore, I just tell Gemini to do it. And so I think those are, I almost wanted to basically somewhat disagree with, with your assertion that LMS got harder to use.[00:47:22] swyx (2): Like, yes, we, we expose more capabilities, but they're, they're in minor forms, like using canvas, like web search in, in in chat GPT and like Gemini being in, in Excel sheets or in Google sheets, like, yeah, we're getting, no,[00:47:37] Simon: no, no, no. Those are the things that make it harder, because the problem is that for each of those features, they're amazing.[00:47:43] Simon: If you understand the edges of the feature, if you're like, okay, so in Google, Gemini, Excel formulas, I can get it to do a certain amount of things, but I can't get it to go and read a web. You probably can't get it to read a webpage, right? But you know, there are, there are things that it can do and things that it can't do, which are completely undocumented.[00:47:58] Simon: If you ask it what it [00:48:00] can and can't do, they're terrible at answering questions about that. So like my favorite example is Claude artifacts. You can't build a Claude artifact that can hit an API somewhere else. Because the cause headers on that iframe prevents accessing anything outside of CDNJS. So, good luck learning cause headers as an end user in order to understand why Like, I've seen people saying, oh, this is rubbish.[00:48:26] Simon: I tried building an artifact that would run a prompt and it couldn't because Claude didn't expose an API with cause headers that all of this stuff is so weird and complicated. And yeah, like that, that, the more that with the more tools we add, the more expertise you need to really, To understand the full scope of what you can do.[00:48:44] Simon: And so it's, it's, I wouldn't say it's, it's, it's, it's like, the question really comes down to what does it take to understand the full extent of what's possible? And honestly, that, that's just getting more and more involved over time.[00:48:58] Local LLMs: A Growing Interest[00:48:58] swyx (2): I have one more topic that I, I [00:49:00] think you, you're kind of a champion of and we've touched on it a little bit, which is local LLMs.[00:49:05] swyx (2): And running AI applications on your desktop, I feel like you are an early adopter of many, many things.[00:49:12] Simon: I had an interesting experience with that over the past year. Six months ago, I almost completely lost interest. And the reason is that six months ago, the best local models you could run, There was no point in using them at all, because the best hosted models were so much better.[00:49:26] Simon: Like, there was no point at which I'd choose to run a model on my laptop if I had API access to Cloud 3. 5 SONNET. They just, they weren't even comparable. And that changed, basically, in the past three months, as the local models had this step changing capability, where now I can run some of these local models, and they're not as good as Cloud 3.[00:49:45] Simon: 5 SONNET, but they're not so far away that It's not worth me even using them. The other, the, the, the, the continuing problem is I've only got 64 gigabytes of RAM, and if you run, like, LLAMA370B, it's not going to work. Most of my RAM is gone. So now I have to shut down my Firefox tabs [00:50:00] and, and my Chrome and my VS Code windows in order to run it.[00:50:03] Simon: But it's got me interested again. Like, like the, the efficiency improvements are such that now, if you were to like stick me on a desert island with my laptop, I'd be very productive using those local models. And that's, that's pretty exciting. And if those trends continue, and also, like, I think my next laptop, if when I buy one is going to have twice the amount of RAM, At which point, maybe I can run the, almost the top tier, like open weights models and still be able to use it as a computer as well.[00:50:32] Simon: NVIDIA just announced their 3, 000 128 gigabyte monstrosity. That's pretty good price. You know, that's that's, if you're going to buy it,[00:50:42] swyx (2): custom OS and all.[00:50:46] Simon: If I get a job, if I, if, if, if I have enough of an income that I can justify blowing $3,000 on it, then yes.[00:50:52] swyx (2): Okay, let's do a GoFundMe to get Simon one it.[00:50:54] swyx (2): Come on. You know, you can get a job anytime you want. Is this, this is just purely discretionary .[00:50:59] Simon: I want, [00:51:00] I want a job that pays me to do exactly what I'm doing already and doesn't tell me what else to do. That's, thats the challenge.[00:51:06] swyx (2): I think Ethan Molik does pretty well. Whatever, whatever it is he's doing.[00:51:11] swyx (2): But yeah, basically I was trying to bring in also, you know, not just local models, but Apple intelligence is on every Mac machine. You're, you're, you seem skeptical. It's rubbish.[00:51:21] Simon: Apple intelligence is so bad. It's like, it does one thing well.[00:51:25] swyx (2): Oh yeah, what's that? It summarizes notifications. And sometimes it's humorous.[00:51:29] Brian: Are you sure it does that well? And also, by the way, the other, again, from a sort of a normie point of view. There's no indication from Apple of when to use it. Like, everybody upgrades their thing and it's like, okay, now you have Apple Intelligence, and you never know when to use it ever again.[00:51:47] swyx (2): Oh, yeah, you consult the Apple docs, which is MKBHD.[00:51:49] swyx (2): The[00:51:51] Simon: one thing, the one thing I'll say about Apple Intelligence is, One of the reasons it's so disappointing is that the models are just weak, but now, like, Llama 3b [00:52:00] is Such a good model in a 2 gigabyte file I think give Apple six months and hopefully they'll catch up to the state of the art on the small models And then maybe it'll start being a lot more interesting.[00:52:10] swyx (2): Yeah. Anyway, I like This was year one And and you know just like our first year of iPhone maybe maybe not that much of a hit and then year three They had the App Store so Hey I would say give it some time, and you know, I think Chrome also shipping Gemini Nano I think this year in Chrome, which means that every app, every web app will have for free access to a local model that just ships in the browser, which is kind of interesting.[00:52:38] swyx (2): And then I, I think I also wanted to just open the floor for any, like, you know, any of us what are the apps that, you know, AI applications that we've adopted that have, that we really recommend because these are all, you know, apps that are running on our browser that like, or apps that are running locally that we should be, that, that other people should be trying.[00:52:55] swyx (2): Right? Like, I, I feel like that's, that's one always one thing that is helpful at the start of the [00:53:00] year.[00:53:00] Simon: Okay. So for running local models. My top picks, firstly, on the iPhone, there's this thing called MLC Chat, which works, and it's easy to install, and it runs Llama 3B, and it's so much fun. Like, it's not necessarily a capable enough novel that I use it for real things, but my party trick right now is I get my phone to write a Netflix Christmas movie plot outline where, like, a bunch of Jeweller falls in love with the King of Sweden or whatever.[00:53:25] Simon: And it does a good job and it comes up with pun names for the movies. And that's, that's deeply entertaining. On my laptop, most recently, I've been getting heavy into, into Olama because the Olama team are very, very good at finding the good models and patching them up and making them work well. It gives you an API.[00:53:42] Simon: My little LLM command line tool that has a plugin that talks to Olama, which works really well. So that's my, my Olama is. I think the easiest on ramp to to running models locally, if you want a nice user interface, LMStudio is, I think, the best user interface [00:54:00] thing at that. It's not open source. It's good.[00:54:02] Simon: It's worth playing with. The other one that I've been trying with recently, there's a thing called, what's it called? Open web UI or something. Yeah. The UI is fantastic. It, if you've got Olama running and you fire this thing up, it spots Olama and it gives you an interface onto your Olama models. And t

Send us a textI talk about the gathering and about how central friendship is to the gathering. We can all reach out a little more to those around us, and we can all be a visionary as I describe in this episode. __________________________Do you have questions or comments?Please contact me: rtosguthorpe@gmail.comWant more info about my books and talks?Go to my website: https://www.russelltosguthorpe.com/Want to order a book? Just go to Amazon and type in Russell T. Osguthorpe Want to access my YouTube channel:https://youtube.com/@russellt.osguthorpe497Want know more about the music on this podcast? We are blessed to have M. Diego Gonzalez as a regular contributor of songs he has arranged, performed, and recorded especially for this podcast. My wife and I became acquainted with Diego when he was serving a as missionary in the Puerto Rico San Juan Mission. We were so impressed with his talent, we asked if he would compose and perform songs for Filled With His Love. He thankfully agreed. Hope you enjoy his work!Want to boost your mood and make someone's day?Go to the App store on your iPhone, and download the app—Boonto.Want a good introduction to my book? Morgan Jones Pearson interviewed me on the All-In Podcast, and it was one of the top 10 episodes of 2022. Here's the link:https://www.ldsliving.com/2022-in-review-top-10-all-in-podcast-episod...

The latest In Touch With iOS with Dave he is joined by guest Patrice Brend-Amour, Marty Jencius, Jeff Gamet, and Ben Roethig. We explore the latest updates from Apple's ecosystem Our discussion starts with the Vision Pro and the release of Vision OS 2.3 beta, touching on future HomeKit integrations. We dive into gaming advancements with NVIDIA's GeForce Now for the Vision Pro and discuss video playback options,The conversation shifts to iOS updates, including the minor changes in iOS 18.2.1 and expectations for the iOS 18.3 beta. We share insights from CES, highlighting innovative products. 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 Spoutible Summary Topics and Links We kick off with a discussion about the Vision Pro, as we explore the newly released Vision OS 2.3 beta. While there were not many standout features noted in the update, we tease a potentially exciting future integration with HomeKit, specifically for smart vacuum support. Marty provides insights into developer notes detailing a bug fix for HealthKit authorization issues, while Patrice humorously notes that the updates seem to be more of the same, referencing online jokes about the ongoing nature of software upgrades. The conversation quickly shifts to gaming enhancements, particularly the anticipation surrounding NVIDIA's GeForce Now service coming to the Vision Pro. Ben passionately shares his excitement, mentioning how it will significantly broaden gaming capabilities through Safari integration. The hosts exchange thoughts on their gaming interests and how these new features may appeal differentially to each of them, highlighting the intersection of gaming and augmented reality. As we move into the other applications available for Vision Pro, we discuss the best options for video playback, particularly focusing on Plex and the new features recently introduced to its app. The hosts analyze the competitive landscape of video players for Vision Pro, with each providing personal experiences and opinions on usability and functionality. Patrice raises valid points about claiming one specific app holds the ‘best' title, emphasizing the variety of user needs and preferences. Next, we turn our attention to recent updates on iOS, with the release of iOS 18.2.1, which introduces bug fixes without significant feature changes. We examine the implications of this update as well as the expectations for future iOS releases, like the upcoming iOS 18.3 beta. The discussion leads to a humorous exchange about the minor changes these updates bring, with the group relaying their own experiences and observations. The episode pivots to highlight notable mentions from CES. The hosts marvel at new products, such as the Satachi Mac Mini Hub designed to ease the power button's accessibility—a point that ignites playful debate about whether this is necessary. Anchor's new charging solutions and Belkin's innovative accessories also garner attention, with the team weighing in on their utility and relevance in today's tech landscape. Finally, we wrap up the episode with a look at Apple's recent strategic moves, including the expansion of its services like Apple One and the implications of its ongoing developments in AI with Apple Intelligence. In Touch With Vision Pro this week.  Apple Seeds Second Betas of watchOS 11.3, tvOS 18.3 and visionOS 2.3 to Developers Apple Vision Pro to Support NVIDIA's 'GeForce NOW' Cloud Gaming Service via Safari The best Plex video player for Apple Vision Pro just got way better This Tim Cook habit can almost fix Vision Pro's biggest problem  Apple Releases iOS 18.2.1 With Bug Fixes What to Expect From iOS 18.2.1, iOS 18.3, and iOS 18.4 Beta this week. Apple Releases Second Betas of iOS 18.3 and iPadOS 18.3 Apple Seeds Second Public Betas of iOS 18.3, iPadOS 18.3, and macOS Sequoia 15.3 Apple Seeds Second Betas of watchOS 11.3, tvOS 18.3 and visionOS 2.3 to Developers iOS 18.3 beta 2 fixes key Calculator issue introduced last fall In Touch With Mac this week Apple Seeds Second Beta of macOS Sequoia 15.3 to Developers Satechi's New Mac Mini Hub Solves the Power Button Problem Dell mocked at its own press launch for copying Apple's naming convention Dell Copies iPhone 'Pro', 'Pro Max' Naming Strategy for New PC Lineup - MacRumors CES Anker Launches New USB-C Portable Battery and Wall Charger With Smart Displays, Plus More Accessory Deals Swippitt Debuts Phone Charging Hub With Automated Battery Swapper LG Unveils UltraFine 6K Display With Thunderbolt 5 Support This Matter-Enabled Robot Vacuum Can Pick Up Dirty Laundry - MacRumors CES 2025: Belkin Debuts New Chargers, Audio Products and Content Creation Tools - MacRumors Apple One got three recent additions you might have missed, here's what's new News Apple Stepping Up Plans to Expand News App to More Countries - MacRumors Apple Intelligence Update Will Add Clarification to Prevent Fake Headline Confusion - MacRumors Apple Says Siri Data Has Never Been Sold or Used for Marketing - MacRumors Apple Using Shazam to Predict 50 Breakthrough Music Artists This Year - MacRumors Disney merges Hulu Live TV service with Fubo, new sports bundle now imminent Announcements Macstock 9 is next summer. It's back again for 3 Days on July 11, 12, and 13th, 2025. Newsletter link here: https://mailchi.mp/0c81790aa2a8/macstock8-10132503?e=eb0c7039b1 Macstock 8 wrapped up for 2024. But you can purchase the digital pass and still see the great talks we had including Dave talking about Apple Services and more. Content is now available! .  Click here for more information: Digital Pass | Macstock Conference & Expo with discounts on previous events.  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 Mastadon @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 as well as Twitter and Instagram as @jgamet  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  Ben Roethig Former Associate Editor of GeekBeat.TV and host of the Tech Hangout and Deconstruct with Patrice  Mac user since the mid 90s. Tech support specialist. Twitter @benroethig  Website: https://roethigtech.blogspot.com About our Guest Patrice Brend'amour loves to create podcasts, automations or software. She also enjoys working with diverse sets of people, leading them to success and making a tiny difference in the world. Which she does as VP of Development at a Healthcare Software provider. She can be found at https://the-patrice.com and her podcasts Foodie Flashback at https://foodieflashback.com as well as Retro Rewatch with Jeff at https://RetroRewatch.com