Podcasts about XR

Aquí puedes usar ChatLLM:https://chatllm.abacus.ai/zrmConviértete en miembro de este canal para disfrutar de ventajas:https://www.youtube.com/channel/UCxz7sBKlpcpyCiPwXupRymw/joinNo te pierdas de ningún contenido:https://isamarcial.com.mxhttps://instagram.com/isa_marcialhttps://twitter.com/isa_marcial/https://facebook.com/isaias.marcialhttps://twitch.tv/isa_marcialhttps://www.tiktok.com/@isa_marcialhttp://s.kw.ai/u/@isa_marcial/9LxCxlEHhttps://anchor.fm/isamarcialhttps://t.me/isa_marcial

Ver en Youtube / ¿Hoy sigue siendo excepcional la producción de obras de XR en Latinoamérica? A partir de las experiencias de tres creadores, esta charla explorará algunas preguntas sobre las condiciones tecnológicas y las fuentes de recursos que actualmente permiten la materialización de este tipo de obras en el continente, así como los temas que abordan a través de estas singulares formas del audiovisual y cómo han podido desarrollar su propio trabajo en otros países con infraestructuras tecnológicas y una demanda mayores.En esta sesión: Tupac Martir (México/Reino Unido), Daniela Camino (Chile), Xiomara Suescún (CNA) y Laura Palma (Festival de la Imagen)Este contenido llega a vos gracias al BAM, Proimágenes Colombia y a las siguientes empresas que acompañan con su patrocinio la producción de este episodio:Panda Scout / Conectamos creadores con la industria. Curamos, analizamos y representamos historias iberoamericanas, acompañamos su transformación en negocios reales. Únete a nuestra comunidad en https://www.pandascout.co/ DON ALBERTO, una productora que crea historias, comerciales cinematográficos, videoclips vibrantes y campañas virales que impulsan marcas en todas las redes. http://dnaproductora.comNUESTRO EQUIPO EN EL BAM:Productor: Juan Pablo Borda Fotografía: Iván ArizaFotografía: Santiago HernándezFotografía: Emanuella De LucaSonido directo y edición de maquetas: Valeria LópezNuestra web: https://gentequehacecine.com/ Instagram: https://www.instagram.com/gentequehacecine/

PHI Studio sponsored today's episode to highlight that they are expanding their location-based entertainment distribution network to the United States with their EXP Rosemont location in the greater Chicago, IL area that is opening to the public on September 26, 2025. They will be launching with a couple of Excurio pieces including The Horizon of Khufu and Life Chronicles that feature large-scale, free-roaming VR guided tours that I've covered previously in episodes #1430, #1431, and #1588. Both Excurio and PHI Studio are interested in collaborating with creators who are interested in creating large-scale LBE experiences that could draw 100-150 people per hour, and you can reach out to Fabian Barati and/or Julie Tremblay on LinkedIn. Excurio will be making their tools and SDK available to third party developers to expand the number content producers creating this type of large-scale work, and PHI Studio continues to do co-productions across a wide range of formats and throughput scales. I'm excited to see PHI Studio continue to build out their independent distribution network across Canada and North America as they continue to produce and distribute their own experiences as well as distribute the best of large-scale, free roaming experience from Excurio. EXP Rosemont will be launching with a couple of Excurio pieces, but I expect them to eventually distribute some of their own large-scale VR and non-VR, immersive works as well. PHI Studio continues to build out their own independent distribution networks, which will provide new outlets and opportunities for immersive stories that have featured on the festival circuit to have a home beyond this more insular XR industry exhibition network. Not all projects will be a good fit for this high-throughput format, but the revenue generated will help support their other more experimental efforts that are helping to push the boundaries of the medium. Look for my more in-depth coverage of Blur coming out here within the next couple of weeks, which was my personal favorite from Venice Immersive and one of the hottest tickets at this years festival. Thanks again to PHI Studio for sponsoring this episode, and keep an eye on this new location in the greater Chicago area (and apparently only a 10-minute ride from O'Hare Airport if you happen to have an extended layover). I'll be diving more into more 30+ hours of coverage from Venice Immersive within the next couple of weeks, likely after I return from Meta Connect. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

00:00: ☀️ Bom dia Tech!00:23:

Today on the Invest In Her podcast, host Catherine Gray talks with Wadooah Wali, Co-Founder, Chief Strategy Officer, and Executive Producer at New Canvas, an award-winning XR studio focused on social impact storytelling. Wadooah is a pioneering entrepreneur, media innovator, and immersive storyteller whose career spans more than 20 years across traditional broadcast, digital platforms, and cutting-edge XR formats. At New Canvas, she drives strategic growth, industry positioning, and partnerships, leading high-profile projects like When Brooklyn Was Queer—a groundbreaking VR series produced with Elliot Page and PAGEBOY Productions that premiered at the 2024 Venice Immersive Production Bridge. Her career also includes leadership roles at Demand Media, WarnerMedia, Fullscreen, and Midroll Media/EarWolf, where she helped shape shifts in online video, podcasting, and digital publishing. In this episode, Catherine and Wadooah dive into the future of immersive media and its potential to influence culture and drive social change. Wadooah shares her vision for how XR storytelling can elevate diverse voices, break boundaries in entertainment, and create meaningful impact across industries. They also discuss her role as an advocate for inclusive innovation, her advisory work with GALECA and Revry.TV, and her mission to redefine what it means to be a modern media leader. This conversation is a must-listen for anyone interested in the evolving intersection of creativity, technology, and cultural advocacy. Connect with Wadooah: LinkedIn: https://www.linkedin.com/in/wadooah Instagram: https://www.instagram.com/dubya2 Websites Mentioned: www.newcanvas.co https://www.showherthemoneymovie.com www.sheangelinvestors.com    Follow Us On Social Facebook @sheangelinvestors Twitter (X) @sheangelsinvest Instagram @sheangelinvestors & @catherinegray_investinher LinkedIn @catherinelgray & @sheangels   #InvestInHer #FinancialWellness #WomenInFinance #FinancialEmpowerment #MoneyMindset #InclusiveFinance #FintechForGood #BehavioralEconomics #WealthBuilding #FinancialHealth #EmpowerWomen #MoneyMatters #SheAngelInvestors #InvestInYourself #FinancialFreedom  

Im Rahmen der IAA Mobility stellt BMW den neuen i3X mit ebenso neuem System für autonomes Fahren vor, von Grund auf neu entwickelt zusammen mit Qualcomm. Auch im Cockpit gibts mit einem Panoramabildschirm über die gesamte Windschutzscheibe eine neue Aussicht. Lauter neue Sachen. Neuer Akku mit 108,7 Kilowattstunden Kapazität und ein neues Ladesystem mit 800 Volt. Das Design neu, bisschen futuristischer, kantiger, schmalere Nieren. Obwohl das Ding immer noch ein SUV ist und wir nicht unbedingt Freunde dieser Fahrzeugkategorie sind, nicht verkehrt. Neue Infos gibts auch zu Valves vermutetem Index-Nachfolger, dem VR-Headset Codename "Deckard": Sie haben sich die Marke "Steam Frame" eintragen lassen. Das war an sich auch schon alles, aber in Verbindung mit älteren Leaks und Gerüchten (und Hoffnungen) haben wir doch einiges an Gesprächsstoff. "Deckard" soll Standalon werden und mit der Unterstützung für Arm64 in Proton Spiele direkt auf dem Gerät laufen lassen können. Und es soll bis Ende des Jahres für 1200 Dollar im Bundle erscheinen. Außerdem: Mike spielt Diablo 3 und hat mehr Spaß als mit Diablo 4, Mo spielt Between the Stars und wir freuen uns über den Release von Casebook 1899 - The Leipzig Murders von Studio Homo Narans bzw. Gregor Müller, den wir schon vor drei Jahren zu Gast hatten https://technikquatsch.de/special-mit-gregor-mueller-casebook-1899/. Viel Spaß mit Folge 272! Sprecher:innen: Meep, Michael Kister, Mohammed Ali DadAudioproduktion: Michael KisterVideoproduktion: Mohammed Ali Dad, Michael KisterTitelbild: MeepBildquellen: BMW/QualcommAufnahmedatum: 05.09.2025 Besucht unsim Discord https://discord.gg/SneNarVCBMauf Bluesky https://bsky.app/profile/technikquatsch.deauf TikTok https://www.tiktok.com/@technikquatschauf Youtube https://www.youtube.com/@technikquatschauf Instagram https://www.instagram.com/technikquatschauf Twitch https://www.twitch.tv/technikquatsch RSS-Feed https://technikquatsch.de/feed/podcast/Spotify https://open.spotify.com/show/62ZVb7ZvmdtXqqNmnZLF5uApple Podcasts https://podcasts.apple.com/de/podcast/technikquatsch/id1510030975 00:00:00 Herzlich Willkommen zu Technikquatsch Folge 272! 00:04:32 kleiner Gaming-Block mit Diablo 3 und Between the Starshttps://store.steampowered.com/app/727130/Between_the_Stars/ 00:08:44 Casebook 1899 - The Leipzig Murders ist erschienenhttps://store.steampowered.com/app/1841190/Casebook_1899__The_Leipzig_Murders/Unser altes Gespräch mit Gregor Müller: https://technikquatsch.de/special-mit-gregor-mueller-casebook-1899/ 00:15:23 BMW i3X mit 800km Reichweite und neuem System für automatisiertem Fahren nach Level 2+ in Kooperation mit Qualcommhttps://www.computerbase.de/news/mobilitaet/neue-klasse-der-neue-bmw-ix3-soll-eine-autogeneration-ueberspringen.94177/https://www.golem.de/news/neuer-bmw-ix3-angeschaut-das-anti-autonome-auto-2509-199804-3.htmlhttps://www.qualcomm.com/news/press-kits/iaa-mobility-2025https://www.adac.de/rund-ums-fahrzeug/ausstattung-technik-zubehoer/autonomes-fahren/grundlagen/autonomes-fahren-5-stufen/https://en.wikipedia.org/wiki/Kei_car 00:37:56 Batteriespeicherkapazitäten im Stromnetz: Anfragen zu 27.000 Projekten mit Gesamtkapazität von 390 Gigawatt liegen bei Netzbetreibernhttps://www.golem.de/news/stromspeicher-ausbau-der-batteriespeicher-ueberlastet-netzbetreiber-2509-199826.html 00:42:49 Kurze Pause (ohne Werbung!) 00:43:36 VR-Headsets: Apple Vision Pro ein "Erfolg" in der Nische einer Nischehttps://www.heise.de/news/Vision-Pro-In-dieser-Nische-verkauft-sie-sich-gut-10632650.html 00:45:52 Steam Frame als Marke eingetragen, möglicher Name für neues VR-Headset von Valvehttps://www.computerbase.de/news/gaming/steam-frame-hinter-der-offiziellen-marke-soll-ein-neues-vr-headset-stecken.94193/ 00:55:54 breitere Diskussion über VR, AR, XR, Smart Glasses und ähnlichem 01:07:38 Intel möchte einzelne CPU-Kerne zu "Super-Cores" zusammenfassenhttps://www.heise.

Mo dedicated over 18 years to designing solutions that empower people and make a meaningful impact. This includes more than 8 years in immersive XR, spatial computing, and AI-powered products, leading in-house and remote teams across pioneering startups like ShapesXR, Gravity Sketch and FitXR, forward-thinking agencies and more recently as Senior product designer at Meta. We tap into his experience when hiring designersHis take on the role of designers within bigger and smaller organisationsWhat was his experience when working in startups, being a freelancer and also what he loves about working in corporatesThe role of designers when designing FOR AI productsSubscribe to XR AI Spotlight weekly newsletter

¡Curiosinautas!

Marty, Eric, Dave, and Daniel review  PCMag's top apps of 2025 (with their additions), an interesting new patent, and more about the Samsung upcoming headset.The Best Apple Vision Pro Apps for 2025 | PCMag — https://www.yahoo.com/tech/best-apple-vision-pro-apps-171556248.htmlHere's what we're expecting with future generations of Apple Vision Pro: roadmap - 9to5Mac — https://9to5mac.com/2025/08/31/what-to-expect-with-future-apple-vision-pro-models/    Been saving up for Samsung's XR headset? Pricing and a launch date have just leaked –and it could be cheaper than the Vision Pro — https://tech.yahoo.com/ar-vr/articles/saving-samsungs-xr-headset-pricing-103433733.html    Samsung's augmented reality headset will be released in October and will cost up to $2,000 • Mezha.Media — https://mezha.media/en/news/samsung-s-augmented-reality-headset-will-be-released-in-october-304343/   Samsung's VR Headset Tipped To Cost Nearly $2k, Still Less Than The Apple Vision Pro | Tom's Guide — https://www.tomsguide.com/computing/vr-ar/samsungs-vr-headset-tipped-to-cost-nearly-usd2k-still-less-than-the-apple-vision-proIf This Is the Price of Samsung's Vision Pro Killer, It's Still Too Much — https://gizmodo.com/if-this-is-the-price-of-samsungs-vision-pro-killer-its-still-too-much-2000648955    Samsung XR headset leak reveals potential price and release date – and it could be cheaper than the Vision Pro | TechRadar — https://www.techradar.com/computing/virtual-reality-augmented-reality/samsung-xr-headset-leak-reveals-potential-price-and-release-date-and-it-could-be-cheaper-than-the-vision-proA Future Version of Apple's Vision Pro may provide users with a Precision Fit through Dynamic Adjustment Mechanismshttps://www.patentlyapple.com/2025/08/a-future-version-of-apples-vision-pro-may-provide-users-with-a-precision-fit-through-dynamic-adjustment-mechanisms.html Watch US Open Spatial Videos Captured By Apple Vision Pro & iPhone — https://www.uploadvr.com/3d-spatial-videos-us-open-tennis-vision-pro/Globular Cluster CMA1 Comfort Mod for Apple Vision Pro review — https://appleinsider.com/articles/25/08/31/globular-cluster-cma1-comfort-mod-for-apple-vision-pro-review-customized-weight-redistributionAPPSWhat the car?https://apps.apple.com/us/app/what-the-car/id1534708672 MD Clock - Spatial Clockhttps://apps.apple.com/us/app/md-clock-spatial-clock/id6478942513SongCapsulehttps://apps.apple.com/us/app/songcapsule/id1476724373postImpress on the App Store https://apps.apple.com/us/app/postimpress/id6479946061 artBids on the App Store https://apps.apple.com/us/app/artbids/id6478816653Email us: ThePodTalkNetwork@gmail.comWebsite: ThePodTalk.Net

What if meetings stopped draining your time and instead became engines for action? That's the question driving Christoph Fleischmann, CEO of Arthur AI, and the conversation in today's episode of Tech Talks Daily. Christoph has spent his career at the intersection of human potential and technology, and now he's leading a company that wants to change how enterprises actually get work done. Arthur AI isn't another tool to add to the stack. It's a digital co-worker—an intelligent presence that joins meetings, captures knowledge, and keeps teams aligned across time zones and formats. Whether in XR spaces, on the web, or through conversational interfaces, Arthur AI blends real-time and asynchronous collaboration. The aim is to replace endless, inefficient meetings with something more dynamic: an environment where humans and AI collaborate side by side to deliver outcomes. This conversation goes beyond theory. Christoph shares how Fortune 500 companies are already using Arthur AI to align global strategies, manage complex transformations, and modernize learning and development programs. He explains how their platform is built on enterprise-grade security and a flexible, LLM-agnostic architecture—critical foundations for companies wary of vendor lock-in or compliance risks. We also touch on the cultural shift of inviting AI to take a real seat at the table. From interviewing and project management to knowledge sharing, Arthur AI represents a new category of work experience, one where digital co-workers support people rather than replace them. For leaders tired of meetings that go nowhere and knowledge trapped in silos, this episode offers a glimpse of what smarter, faster collaboration looks like at scale. Could the blueprint for the future of digital work already be here? ********* Visit the Sponsor of Tech Talks Network: Land your first job  in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA

In this episode, recorded Friday, August 30, at the Venice Film Festival, Charlie Fink talks with director Doug Liman and the 30 Ninjas team, Juliana Tatlock and Jed Weintraub, about Asteroid, their new immersive XR film. The conversation covers the creative and technical process behind putting audiences inside a Hollywood movie, including the use of Google's high-end digital human capture, Unreal Engine, and the Android XR platform with Gemini AI. Liman explains how the project evolved from a feature script into a 12-minute interactive experience. The team reflects on nearly a decade of experimenting with immersive technologies, from early VR series like Invisible to today's high-fidelity headsets. Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @TheAIXRPodcasthttps://linktr.ee/thisweekinxr” Hosted on Acast. See acast.com/privacy for more information.

Silke Schmidt leitet den XR HUB Bavaria in München – und sie war es, die die Idee für diesen Podcast hatte. Mit ihr blicken wir gemeinsam zurück auf die Entstehung des XR HUB, die Highlights der letzten Jahre und die großen Projekte von 2025, allen voran Munich Beyond. Silke erzählt ganz aktuell, welche Rolle XR auf der Gamescom gespielt hat, wieso in Spanien und Frankreich VR längst im Museum oder Fitnessstudio angekommen ist, und wie das XR-Ökosystem in Bayern, aber auch die Bedeutung von XR generell wächst – von Schulen über Mittelstand bis hin zur freien Kunstszene. Wir sprechen über Fortschritte bei Headsets wie Apple Vision Pro, die Frage nach Mainstream oder Nische und die besondere Stärke von XR in der Bildung: immersive Erlebnisse, die Lernen lebendig machen. Und natürlich über Munich Beyond, das gemeinsame Event von Festival der Zukunft, Filmfest München, XR HUB Bavaria, Residenztheater und FFF, das VR-Kunstwerke nach München gebracht hat. Mit Taiwan als Gastland. Eine Folge über die Gegenwart und Zukunft von XR – und warum die Technologie mehr ist als Spielerei.

This episode of The New Abnormal podcast features Gergely Nemeth, former Head of Strategic Foresight at NATO and now CEO of Hungary's Defence Innovation Research Institute (VIKI), who reflects on a career ‘impacted by coincidence' but marked by increasing responsibility in defence planning, policy, and foresight. Beginning as an intelligence analyst, he moved through roles in Hungary's Ministry of Defence, NATO committees, and finally NATO's Strategic Foresight team, where he revitalized foresight processes disrupted by COVID. A pivotal assignment in Brussels during Russia's invasion of Ukraine gave him direct experience in international defence collaboration and NATO's “art of the deal” diplomacy.At VIKI, Nemeth leads efforts in foresight, innovation, and strategic outreach, supporting projects such as XR-based training systems and advancing the robotization of armed forces, which he views as inevitable due to demographic, technological, and battlefield realities.A key point we discuss is the role of hope in futures thinking: Gergely believes that foresight must not only identify risks but also shape preferable futures through agency and action. Above all, he stresses the importance of intellectual honesty, institutional adaptation, and collaborative innovation as vital for building resilient defence ecosystems...

¡Curiosinautas!

Have you ever felt like you couldn't lead in tech because you didn't come from a technical background? This week's guest, Anna Belova, is living proof that non-technical leaders can build cutting-edge tech companies and thrive in the most technical industries. Anna is a serial entrepreneur and CEO who has built multiple successful companies in AR and AI - including selling over 15 million AR books for kids worldwide and creating one of the leading web XR platforms used by Google and Meta. Her secret? She's never written a single line of code, and she wouldn't have it any other way. In this episode, we dive deep into what it means to lead highly technical teams without a technical background and how to turn perceived weaknesses into creative advantages. “I think it's one of the main powers that I have, because I'm always thinking about products for people who are not geeks or non-technical as well, like me." — Anna Belova What You'll Learn in This Episode: How being non-technical gives you an advantage in creating user-friendly products Why "What if?" is the most powerful question for breakthrough thinking How to lead technical teams when you don't speak their language The mindset shift from "building a unicorn" to "building yourself into someone who can build a unicorn" Why authenticity trumps trying to fit into male-dominated tech culture How to turn doubt into creative power as a woman in tech leadership   Ready to embrace your non-technical superpowers? 

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Dr. Jussi Kajala is the CEO and co-founder of 3DBear Oy, a Finnish edtech company specializing in immersive learning through XR technologies and AI. With a PhD in material physics and degree from University of Cambridge, Jussi began his career in academia before bridging into entrepreneurship, where he now leads innovation at the intersection of education and technology.Under his leadership, 3DBear has become a pioneer in developing simulation-based learning platforms used globally in vocational education, healthcare training, and schools. Jussi's work focuses on harnessing virtual and augmented reality, 3D environments, and pedagogical AI to create scalable, impactful digital education solutions.He has been recognized for advancing the role of immersive technologies in mainstream curricula, from math and science to healthcare and workplace training, and for championing the ethical, responsible use of learner data in digital environments.Passionate about empowering educators and learners, Jussi's vision is to make cutting-edge educational technology accessible worldwide, enabling students to take ownership of their learning and thrive in the digital age.LinkedIn: https://www.linkedin.com/in/jussikajala/

Episode 339! Vier boosmakertjes: de vlindernaam voor de nieuwe A321neo van KLM. Amsterdammers schrikken van The Sound of Freedom. Chinooks van de Brabantse luchtmacht. De Vakantiekoning kiest niet voor een privéjet maar vliegt "gewoon" met KLM. Franse Rafale piloot "schiet F-35 neer" in schijngevecht. XR-actievoerders boos op Schiphol vanwege verbod: ze willen zelf ook vliegen. Wat is de meest verkochte widebody ter wereld? En nog veel meer in een compacte aflevering van 30 minuten. (00:00) Boomblauwtje Fly Away Mix - DJ Turbulence featuring Vroege Vogels (00:45) Intro: Trash City van SAIL (01:16) Leader (01:36) Vakantiekoning met KLM naar NL voor SAIL (03:12) Zielig: Griekse pater slachtoffer van RVD (05:01) Boosmakertje 1: Amsterdammers bang van F-35 (08:57) Boosmakertje 2: XR-rebellen willen zelf vliegen (14:08) Boosmakertje 3: het Boomblauwtje van KLM (15:23) Boosmakertje 4: Brabantse Luchtmacht (16:48) Quiz: wat is de best verkochte widebody? (20:46) China gaat heel veel vliegtuigen kopen (24:09) Stukje Concorde/747 voor Ultimate-klanten (24:50) KLM-tickets vaak de duurste (26:34) Pijnlijk: F-35 verliest van Rafale (29:15) Afsluit. Muziek: Fly Away - Lenny Kravitz. Tips en commentaar stuur je naar info@tmhc.nl Michiel Koudstaal is onze voice-over. Voor al je stemmenwerk ga naar voxcast.nl

This week writer and director Eliza McNitt joins us to talk about Venice Immersive, the annual XR extravaganza inside the Venice International Film Festival, where at this year's event she is the President of Venice Immersive's International Jury, which will judge the 30 pieces in competition.SHOW NOTESVenice ImmersiveVenice Immersive 2025: XR Experiences To Stoke Your FOMO (A NoPro Guide)Ancestra (YouTube) Hosted on Acast. See acast.com/privacy for more information.

Today's guest is Kiira Benz, a filmmaker, theatre director, and pioneer in immersive storytelling. She has been working in the XR space for the last decade, pushing boundaries at the intersection of film, theatre, and virtual reality. Kiira is the founder of Double Eye Studios, the award-winning creative XR studio behind Finding Pandora X, which became the first VR theatre production to win a Lion at the Venice International Film Festival. She has directed acclaimed immersive projects including Territory, Runnin', Loveseat, and Cardboard City, and she was the first VR director to film on the Intel Studios volumetric capture stage. Her work has been recognized with major honors at Venice, SXSW, and with a JustFilms Fellowship from the Ford Foundation. She is also the host of the Portal to the Next Stage podcast, where she talks with trailblazers working at the crossroads of art, technology, and human connection. In our conversation we dig into her creative process, where immersive media is headed, and we break down two of her favorite movie scenes: from AMELIE (2001) and the poetic mirror-filled moments from Agnès Varda's THE BEACHES OF AGNES (2008).   Hosted by Zef Cota

Marty introduces new information about a potential new battery integration in future Vision Pro headsetsToday's ProNote: Patent for a new battery integrationApple Reinvents Battery Design for Vision Pro Headset to Improve Efficiencyhttps://www.macobserver.com/news/apple-reinvents-battery-design-for-vision-pro-headset-to-improve-efficiency/ Apple has patented a new battery integration method for its Vision Pro headset, aiming to improve both power efficiency and portability.• The innovation embeds batteries directly into the headset's structural guide rails, which adjust the optical modules. This design boosts battery capacity without increasing the device's size or weight.• By turning hollow guide rails into battery housings, Apple eliminates the need for separate battery casings. This streamlines the internal layout, reduces complexity, lowers weight, and enhances packaging efficiency.• The guide rails still allow smooth interpupillary distance adjustments, maintaining functionality while providing energy storage.• The rails use composite materials for thermal resistance and mechanical strength, supporting both durability and reliable battery performance.• This embedded battery system can work alongside a main power source: it allows the headset to run in low-power modes, provides backup power during reboots, and helps retain memory functions when unplugged.• Each guide rail connects directly to the logic board, and configurations can range from one to four rails—enabling flexible and modular power management for future headset models.• The design is adaptable for different uses, supporting variations in battery number and placement based on specific product requirements.• Apple's approach addresses the main challenge for XR headsets—balancing high power demands with lightweight, comfortable form factors—potentially setting a new industry direction for more ergonomic and portable devices.• This advance could be a major step towards solving the persistent problems of power limits and bulkiness in augmented and virtual reality headsets, without sacrificing user comfort or key features.Email us at ThePodTalkNetwork@gmail.com. Website: ThePodTalk.Net 

Summer rewind: Greg Lindsay is an urban tech expert and a Senior Fellow at MIT. He's also a two-time Jeopardy champion and the only human to go undefeated against IBM's Watson. Greg joins thinkenergy to talk about how artificial intelligence (AI) is reshaping how we manage, consume, and produce energy—from personal devices to provincial grids, its rapid growth to the rising energy demand from AI itself. Listen in to learn how AI impacts our energy systems and what it means individually and industry-wide. Related links: ●       Greg Lindsay website: https://greglindsay.org/ ●       Greg Lindsay on LinkedIn: https://www.linkedin.com/in/greg-lindsay-8b16952/ ●       International Energy Agency (IEA): https://www.iea.org/ ●       Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ●       Hydro Ottawa: https://hydroottawa.com/en    To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405   To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl   To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited   Follow along on Instagram: https://www.instagram.com/hydroottawa   Stay in the know on Facebook: https://www.facebook.com/HydroOttawa   Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: Trevor Freeman  00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening.   Trevor Freeman  00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts feedback or ideas for topics we should cover, please reach out to us at think energy at hydro ottawa.com, Hi everyone. Welcome back. Artificial intelligence, or AI, is a term that you're likely seeing and hearing everywhere today, and with good reason, the effectiveness and efficiency of today's AI, along with the ever increasing applications and use cases mean that in just the past few years, AI went from being a little bit fringe, maybe a little bit theoretical to very real and likely touching everyone's day to day lives in ways that we don't even notice, and we're just at the beginning of what looks to be a wave of many different ways that AI will shape and influence our society and our lives in the years to come. And the world of energy is no different. AI has the potential to change how we manage energy at all levels, from our individual devices and homes and businesses all the way up to our grids at the local, provincial and even national and international levels. At the same time, AI is also a massive consumer of energy, and the proliferation of AI data centers is putting pressure on utilities for more and more power at an unprecedented pace. But before we dive into all that, I also think it will be helpful to define what AI is. After all, the term isn't new. Like me, many of our listeners may have grown up hearing about Skynet from Terminator, or how from 2001 A Space Odyssey, but those malignant, almost sentient versions of AI aren't really what we're talking about here today. And to help shed some light on both what AI is as well as what it can do and how it might influence the world of energy, my guest today is Greg Lindsay, to put it in technical jargon, Greg's bio is super neat, so I do want to take time to run through it properly. Greg is a non resident Senior Fellow of MIT's future urban collectives lab Arizona State University's threat casting lab and the Atlantic Council's Scowcroft center for strategy and security. Most recently, he was a 2022-2023 urban tech Fellow at Cornell Tech's Jacobs Institute, where he explored the implications of AI and augmented reality at an urban scale. Previously, he was an urbanist in resident, which is a pretty cool title, at BMW minis urban tech accelerator, urban X, as well as the director of Applied Research at Montreal's new cities and Founding Director of Strategy at its mobility focused offshoot, co motion. He's advised such firms as Intel, Samsung, Audi, Hyundai, IKEA and Starbucks, along with numerous government entities such as 10 Downing Street, us, Department of Energy and NATO. And finally, and maybe coolest of all, Greg is also a two time Jeopardy champion and the only human to go undefeated against IBM's Watson. So on that note, Greg Lindsey, welcome to the show.   Greg Lindsay  04:14 Great to be here. Thanks for having me. Trevor,   Trevor Freeman  04:16 So Greg, we're here to talk about AI and the impacts that AI is going to have on energy, but AI is a bit of one of those buzzwords that we hear out there in a number of different spheres today. So let's start by setting the stage of what exactly we're talking about. So what do we mean when we say AI or artificial intelligence?   Speaker 1  04:37 Well, I'd say the first thing to keep in mind is that it is neither artificial nor intelligence. It's actually composites of many human hands making it. And of course, it's not truly intelligent either. I think there's at least two definitions for the layman's purposes. One is statistical machine learning. You know that is the previous generation of AI, we could say, doing deep, deep statistical analysis, looking for patterns fitting to. Patterns doing prediction. There's a great book, actually, by some ut professors at monk called prediction machines, which that was a great way of thinking about machine learning and sense of being able to do large scale prediction at scale. And that's how I imagine hydro, Ottawa and others are using this to model out network efficiencies and predictive maintenance and all these great uses. And then the newer, trendier version, of course, is large language models, your quads, your chat gpts, your others, which are based on transformer models, which is a whole series of work that many Canadians worked on, including Geoffrey Hinton and others. And this is what has produced the seemingly magical abilities to produce text and images on demand and large scale analysis. And that is the real power hungry beast that we think of as AI today.   Trevor Freeman  05:42 Right! So different types of AI. I just want to pick those apart a little bit. When you say machine learning, it's kind of being able to repetitively look at something or a set of data over and over and over again. And because it's a computer, it can do it, you know, 1000s or millions of times a second, and learn what, learn how to make decisions based on that. Is that fair to say?   Greg Lindsay  06:06 That's fair to say. And the thing about that is, is like you can train it on an output that you already know, large language models are just vomiting up large parts of pattern recognition, which, again, can feel like magic because of our own human brains doing it. But yeah, machine learning, you can, you know, you can train it to achieve outcomes. You can overfit the models where it like it's trained too much in the past, but, yeah, it's a large scale probabilistic prediction of things, which makes it so powerful for certain uses.   Trevor Freeman  06:26 Yeah, one of the neatest explanations or examples I've seen is, you know, you've got these language models where it seems like this AI, whether it's chat, DBT or whatever, is writing really well, like, you know, it's improving our writing. It's making things sound better. And it seems like it's got a brain behind it, but really, what it's doing is it's going out there saying, What have millions or billions of other people written like this? And how can I take the best things of that? And it can just do that really quickly, and it's learned that that model, so that's super helpful to understand what we're talking about here. So obviously, in your work, you look at the impact of AI on a number of different aspects of our world, our society. What we're talking about here today is particularly the impact of AI when it comes to energy. And I'd like to kind of bucketize our conversation a little bit today, and the first area I want to look at is, what will ai do when it comes to energy for the average Canadian? Let's say so in my home, in my business, how I move around? So I'll start with that. It's kind of a high level conversation. Let's start talking about the different ways that AI will impact you know that our average listener here?   Speaker 1  07:41 Um, yeah, I mean, we can get into a discussion about what it means for the average Canadian, and then also, of course, what it means for Canada in the world as well, because I just got back from South by Southwest in Austin, and, you know, for the second, third year in row, AI was on everyone's lips. But really it's the energy. Is the is the bottleneck. It's the forcing factor. Everyone talked about it, the fact that all the data centers we can get into that are going to be built in the direction of energy. So, so, yeah, energy holds the key to the puzzle there. But, um, you know, from the average gain standpoint, I mean, it's a question of, like, how will these tools actually play out, you know, inside of the companies that are using this, right? And that was a whole other discussion too. It's like, okay, we've been playing around with these tools for two, three years now, what do they actually use to deliver value of your large language model? So I've been saying this for 10 years. If you look at the older stuff you could start with, like smart thermostats, even look at the potential savings of this, of basically using machine learning to optimize, you know, grid optimize patterns of usage, understanding, you know, the ebbs and flows of the grid, and being able to, you know, basically send instructions back and forth. So you know there's stats. You know that, basically you know that you know you could save 10 to 25% of electricity bills. You know, based on this, you could reduce your heating bills by 10 to 15% again, it's basically using this at very large scales of the scale of hydro Ottawa, bigger, to understand this sort of pattern usage. But even then, like understanding like how weather forecasts change, and pulling that data back in to basically make fine tuning adjustments to the thermostats and things like that. So that's one stands out. And then, you know, we can think about longer term. I mean, yeah, lots have been lots has been done on imagining, like electric mobility, of course, huge in Canada, and what that's done to sort of change the overall energy mix virtual power plants. This is something that I've studied, and we've been writing about at Fast Company. At Fast Company beyond for 20 years, imagining not just, you know, the ability to basically, you know, feed renewable electricity back into the grid from people's solar or from whatever sources they have there, but the ability of utilities to basically go in and fine tune, to have that sort of demand shaping as well. And then I think the most interesting stuff, at least in demos, and also blockchain, which has had many theoretical uses, and I've got to see a real one. But one of the best theoretical ones was being able to create neighborhood scale utilities. Basically my cul de sac could have one, and we could trade clean electrons off of our solar panels through our batteries and home scale batteries, using Blockchain to basically balance this out. Yeah, so there's lots of potential, but yeah, it comes back to the notion of people want cheaper utility bills. I did this piece 10 years ago for the Atlantic Council on this we looked at a multi country survey, and the only reason anybody wanted a smart home, which they just were completely skeptical about, was to get those cheaper utility bills. So people pay for that.   Trevor Freeman  10:19 I think it's an important thing to remember, obviously, especially for like the nerds like me, who part of my driver is, I like that cool new tech. I like that thing that I can play with and see my data. But for most people, no matter what we're talking about here, when it comes to that next technology, the goal is make my life a little bit easier, give me more time or whatever, and make things cheaper. And I think especially in the energy space, people aren't putting solar panels on their roof because it looks great. And, yeah, maybe people do think it looks great, but they're putting it up there because they want cheaper electricity. And it's going to be the same when it comes to batteries. You know, there's that add on of resiliency and reliability, but at the end of the day, yeah, I want my bill to be cheaper. And what I'm hearing from you is some of the things we've already seen, like smart thermostats get better as AI gets better. Is that fair to say?   Greg Lindsay  11:12 Well, yeah, on the machine learning side, that you know, you get ever larger data points. This is why data is the coin of the realm. This is why there's a race to collect data on everything. Is why every business model is data collection and everything. Because, yes, not only can they get better, but of course, you know, you compile enough and eventually start finding statistical inferences you never meant to look for. And this is why I've been involved. Just as a side note, for example, of cities that have tried to implement their own data collection of electric scooters and eventually electric vehicles so they could understand these kinds of patterns, it's really the key to anything. And so it's that efficiency throughput which raises some really interesting philosophical questions, particularly about AI like, this is the whole discussion on deep seek. Like, if you make the models more efficient, do you have a Jevons paradox, which is the paradox of, like, the more energy you save through efficiency, the more you consume because you've made it cheaper. So what does this mean that you know that Canadian energy consumption is likely to go up the cleaner and cheaper the electrons get. It's one of those bedeviling sort of functions.   Trevor Freeman  12:06 Yeah interesting. That's definitely an interesting way of looking at it. And you referenced this earlier, and I will talk about this. But at the macro level, the amount of energy needed for these, you know, AI data centers in order to do all this stuff is, you know, we're seeing that explode.   Greg Lindsay  12:22 Yeah, I don't know that. Canadian statistics my fingertips, but I brought this up at Fast Company, like, you know, the IEA, I think International Energy Agency, you know, reported a 4.3% growth in the global electricity grid last year, and it's gonna be 4% this year. That does not sound like much. That is the equivalent of Japan. We're adding in Japan every year to the grid for at least the next two to three years. Wow. And that, you know, that's global South, air conditioning and other needs here too, but that the data centers on top is like the tip of the spear. It's changed all this consumption behavior, where now we're seeing mothballed coal plants and new plants and Three Mile Island come back online, as this race for locking up electrons, for, you know, the race to build God basically, the number of people in AI who think they're literally going to build weekly godlike intelligences, they'll, they won't stop at any expense. And so they will buy as much energy as they can get.   Trevor Freeman  13:09 Yeah, well, we'll get to that kind of grid side of things in a minute. Let's stay at the home first. So when I look at my house, we talked about smart thermostats. We're seeing more and more automation when it comes to our homes. You know, we can program our lights and our door locks and all this kind of stuff. What does ai do in order to make sure that stuff is contributing to efficiency? So I want to do all those fun things, but use the least amount of energy possible.   Greg Lindsay  13:38 Well, you know, I mean, there's, again, there's various metrics there to basically, sort of, you know, program your lights. And, you know, Nest is, you know, Google. Nest is an example of this one, too, in terms of basically learning your ebb and flow and then figuring out how to optimize it over the course of the day. So you can do that, you know, we've seen, again, like the home level. We've seen not only the growth in solar panels, but also in those sort of home battery integration. I was looking up that Tesla Powerwall was doing just great in Canada, until the last couple of months. I assume so, but I it's been, it's been heartening to see that, yeah, this sort of embrace of home energy integration, and so being able to level out, like, peak flow off the grid, so Right? Like being able to basically, at moments of peak demand, to basically draw on your own local resources and reduce that overall strain. So there's been interesting stuff there. But I want to focus for a moment on, like, terms of thinking about new uses. Because, you know, again, going back to how AI will influence the home and automation. You know, Jensen Wong of Nvidia has talked about how this will be the year of robotics. Google, Gemini just applied their models to robotics. There's startups like figure there's, again, Tesla with their optimists, and, yeah, there's a whole strain of thought that we're about to see, like home robotics, perhaps a dream from like, the 50s. I think this is a very Disney World esque Epcot Center, yeah, with this idea of jetsy, yeah, of having home robots doing work. You can see concept videos a figure like doing the actual vacuuming. I mean, we invented Roombas to this, but, but it also, I, you know, I've done a lot of work. Our own thinking around electric delivery vehicles. We could talk a lot about drones. We could talk a lot about the little robots that deliver meals on the sidewalk. There's a lot of money in business models about increasing access and people needing to maybe move less, to drive and do all these trips to bring it to them. And that's a form of home automation, and that's all batteries. That is all stuff off the grid too. So AI is that enable those things, these things that can think and move and fly and do stuff and do services on your behalf, and so people might find this huge new source of demand from that as well.   Trevor Freeman  15:29 Yeah, that's I hadn't really thought about the idea that all the all these sort of conveniences and being able to summon them to our homes cause us to move around less, which also impacts transportation, which is another area I kind of want to get to. And I know you've, you've talked a little bit about E mobility, so where do you see that going? And then, how does AI accelerate that transition, or accelerate things happening in that space?   Greg Lindsay  15:56 Yeah, I mean, I again, obviously the EV revolutions here Canada like, one of the epicenters Canada, Norway there, you know, that still has the vehicle rebates and things. So, yeah. I mean, we've seen, I'm here in Montreal, I think we've got, like, you know, 30 to 13% of sales is there, and we've got our 2035, mandate. So, yeah. I mean, you see this push, obviously, to harness all of Canada's clean, mostly hydro electricity, to do this, and, you know, reduce its dependence on fossil fuels for either, you know, Climate Change Politics reasons, but also just, you know, variable energy prices. So all of that matters. But, you know, I think the key to, like the electric mobility revolution, again, is, is how it's going to merge with AI and it's, you know, it's not going to just be the autonomous, self driving car, which is sort of like the horseless carriage of autonomy. It's gonna be all this other stuff, you know. My friend Dan Hill was in China, and he was thinking about like, electric scooters, you know. And I mentioned this to hydro Ottawa, like, the electric scooter is one of the leading causes of how we've taken internal combustion engine vehicles offline across the world, mostly in China, and put people on clean electric motors. What happens when you take those and you make those autonomous, and you do it with, like, deep seek and some cameras, and you sort of weld it all together so you could have a world of a lot more stuff in motion, and not just this world where we have to drive as much. And that, to me, is really exciting, because that changes, like urban patterns, development patterns, changes how you move around life, those kinds of things as well. That's that might be a little farther out, but, but, yeah, this sort of like this big push to build out domestic battery industries, to build charging points and the sort of infrastructure there, I think it's going to go in direction, but it doesn't look anything like, you know, a sedan or an SUV that just happens to be electric.   Trevor Freeman  17:33 I think that's a the step change is change the drive train of the existing vehicles we have, you know, an internal combustion to a battery. The exponential change is exactly what you're saying. It's rethinking this.   Greg Lindsay  17:47 Yeah, Ramesam and others have pointed out, I mean, again, like this, you know, it's, it's really funny to see this pushback on EVs, you know. I mean, I love a good, good roar of an internal combustion engine myself, but, but like, you know, Ramesam was an energy analyst, has pointed out that, like, you know, EVS were more cost competitive with ice cars in 2018 that's like, nearly a decade ago. And yeah, the efficiency of electric motors, particularly regenerative braking and everything, it just blows the cost curves away of ice though they will become the equivalent of keeping a thorough brat around your house kind of thing. Yeah, so, so yeah, it's just, it's that overall efficiency of the drive train. And that's the to me, the interesting thing about both electric motors, again, of autonomy is like, those are general purpose technologies. They get cheaper and smaller as they evolve under Moore's Law and other various laws, and so they get to apply to more and more stuff.   Trevor Freeman  18:32 Yeah. And then when you think about once, we kind of figure that out, and we're kind of already there, or close to it, if not already there, then it's opening the door to those other things you're talking about. Of, well, do we, does everybody need to have that car in their driveway? Are we rethinking how we're actually just doing transportation in general? And do we need a delivery truck? Or can it be delivery scooter? Or what does that look like?   Greg Lindsay  18:54 Well, we had a lot of those discussions for a long time, particularly in the mobility space, right? Like, and like ride hailing, you know, like, oh, you know, that was always the big pitch of an Uber is, you know, your car's parked in your driveway, like 94% of the time. You know, what happens if you're able to have no mobility? Well, we've had 15 years of Uber and these kinds of services, and we still have as many cars. But people are also taking this for mobility. It's additive. And I raised this question, this notion of like, it's just sort of more and more, more options, more availability, more access. Because the same thing seems to be going on with energy now too. You know, listeners been following along, like the conversation in Houston, you know, a week or two ago at Sarah week, like it's the whole notion of energy realism. And, you know, there's the new book out, more is more is more, which is all about the fact that we've never had an energy transition. We just kept piling up. Like the world burned more biomass last year than it did in 1900 it burned more coal last year than it did at the peak of coal. Like these ages don't really end. They just become this sort of strata as we keep piling energy up on top of it. And you know, I'm trying to sound the alarm that we won't have an energy transition. What that means for climate change? But similar thing, it's. This rebound effect, the Jevons paradox, named after Robert Stanley Jevons in his book The question of coal, where he noted the fact that, like, England was going to need more and more coal. So it's a sobering thought. But, like, I mean, you know, it's a glass half full, half empty in many ways, because the half full is like increasing technological options, increasing changes in lifestyle. You can live various ways you want, but, but, yeah, it's like, I don't know if any of it ever really goes away. We just get more and more stuff,   Trevor Freeman  20:22 Exactly, well. And, you know, to hear you talk about the robotics side of things, you know, looking at the home, yeah, more, definitely more. Okay, so we talked about kind of home automation. We've talked about transportation, how we get around. What about energy management? And I think about this at the we'll talk about the utility side again in a little bit. But, you know, at my house, or for my own personal use in my life, what is the role of, like, sort of machine learning and AI, when it comes to just helping me manage my own energy better and make better decisions when it comes to energy? ,   Greg Lindsay  20:57 Yeah, I mean, this is where it like comes in again. And you know, I'm less and less of an expert here, but I've been following this sort of discourse evolve. And right? It's the idea of, you know, yeah, create, create. This the set of tools in your home, whether it's solar panels or batteries or, you know, or Two Way Direct, bi directional to the grid, however it works. And, yeah, and people, you know, given this option of savings, and perhaps, you know, other marketing messages there to curtail behavior. You know? I mean, I think the short answer the question is, like, it's an app people want, an app that tell them basically how to increase the efficiency of their house or how to do this. And I should note that like, this has like been the this is the long term insight when it comes to like energy and the clean tech revolution. Like my Emery Levin says this great line, which I've always loved, which is, people don't want energy. They want hot showers and cold beer. And, you know, how do you, how do you deliver those things through any combination of sticks and carrots, basically like that. So, So, hence, why? Like, again, like, you know, you know, power walls, you know, and, and, and, you know, other sort of AI controlled batteries here that basically just sort of smooth out to create the sort of optimal flow of electrons into your house, whether that's coming drive directly off the grid or whether it's coming out of your backup and then recharging that the time, you know, I mean, the surveys show, like, more than half of Canadians are interested in this stuff, you know, they don't really know. I've got one set here, like, yeah, 61% are interested in home energy tech, but only 27 understand, 27% understand how to optimize them. So, yeah. So people need, I think, perhaps, more help in handing that over. And obviously, what's exciting for the, you know, the utility level is, like, you know, again, aggregate all that individual behavior together and you get more models that, hope you sort of model this out, you know, at both greater scale and ever more fine grained granularity there. So, yeah, exactly. So I think it's really interesting, you know, I don't know, like, you know, people have gamified it. What was it? I think I saw, like, what is it? The affordability fund trust tried to basically gamify AI energy apps, and it created various savings there. But a lot of this is gonna be like, as a combination like UX design and incentives design and offering this to people too, about, like, why you should want this and money's one reason, but maybe there's others.   Trevor Freeman  22:56 Yeah, and we talk about in kind of the utility sphere, we talk about how customers, they don't want all the data, and then have to go make their own decisions. They want those decisions to be made for them, and they want to say, look, I want to have you tell me the best rate plan to be on. I want to have you automatically switch me to the best rate plan when my consumption patterns change and my behavior chat patterns change. That doesn't exist today, but sort of that fast decision making that AI brings will let that become a reality sometime in the future,   Greg Lindsay  23:29 And also in theory, this is where LLMs come into play. Is like, you know, to me, what excites me the most about that is the first time, like having a true natural language interface, like having being able to converse with an, you know, an AI, let's hopefully not chat bot. I think we're moving out on chat bots, but some sort of sort of instantiation of an AI to be like, what plan should I be on? Can you tell me what my behavior is here and actually having some sort of real language conversation with it? Not decision trees, not event statements, not chat bots.   Trevor Freeman  23:54 Yeah, absolutely. Okay, so we've kind of teased around this idea of looking at the utility levels, obviously, at hydro Ottawa, you referenced this just a minute ago. We look at all these individual cases, every home that has home automation or solar storage, and we want to aggregate that and understand what, what can we do to help manage the grid, help manage all these new energy needs, shift things around. So let's talk a little bit about the role that AI can play at the utility scale in helping us manage the grid.   Greg Lindsay  24:28 All right? Well, yeah, there's couple ways to approach it. So one, of course, is like, let's go back to, like, smart meters, right? Like, and this is where I don't know how many hydro Ottawa has, but I think, like, BC Hydro has like, 2 million of them, sometimes they get politicized, because, again, this gets back to this question of, like, just, just how much nanny state you want. But, you know, you know, when you reach the millions, like, yeah, you're able to get that sort of, you know, obviously real time, real time usage, real time understanding. And again, if you can do that sort of grid management piece where you can then push back, it's visual game changer. But, but yeah. I mean, you know, yeah, be. See hydro is pulling in. I think I read like, like, basically 200 million data points a day. So that's a lot to train various models on. And, you know, I don't know exactly the kind of savings they have, but you can imagine there, whether it's, you know, them, or Toronto Hydro, or hydro Ottawa and others creating all these monitoring points. And again, this is the thing that bedells me, by the way, just philosophically about modern life, the notion of like, but I don't want you to be collecting data off me at all times, but look at what you can do if you do It's that constant push pull of some sort of combination of privacy and agency, and then just the notion of like statistics, but, but there you are, but, but, yeah, but at the grid level, then I mean, like, yeah. I mean, you can sort of do the same thing where, like, you know, I mean, predictive maintenance is the obvious one, right? I have been writing about this for large enterprise software companies for 20 years, about building these data points, modeling out the lifetime of various important pieces equipment, making sure you replace them before you have downtime and terrible things happen. I mean, as we're as we're discussing this, look at poor Heathrow Airport. I am so glad I'm not flying today, electrical substation blowing out two days of the world's most important hub offline. So that's where predictive maintenance comes in from there. And, yeah, I mean, I, you know, I again, you know, modeling out, you know, energy flow to prevent grid outages, whether that's, you know, the ice storm here in Quebec a couple years ago. What was that? April 23 I think it was, yeah, coming up in two years. Or our last ice storm, we're not the big one, but that one, you know, where we had big downtime across the grid, like basically monitoring that and then I think the other big one for AI is like, Yeah, is this, this notion of having some sort of decision support as well, too, and sense of, you know, providing scenarios and modeling out at scale the potential of it? And I don't think, I don't know about this in a grid case, but the most interesting piece I wrote for Fast Company 20 years ago was an example, ago was an example of this, which was a fledgling air taxi startup, but they were combining an agent based model, so using primitive AI to create simple rules for individual agents and build a model of how they would behave, which you can create much more complex models. Now we could talk about agents and then marrying that to this kind of predictive maintenance and operations piece, and marrying the two together. And at that point, you could have a company that didn't exist, but that could basically model itself in real time every day in the life of what it is. You can create millions and millions and millions of Monte Carlo operations. And I think that's where perhaps both sides of AI come together truly like the large language models and agents, and then the predictive machine learning. And you could basically hydro or others, could build this sort of deep time machine where you can model out all of these scenarios, millions and millions of years worth, to understand how it flows and contingencies as well. And that's where it sort of comes up. So basically something happens. And like, not only do you have a set of plans, you have an AI that has done a million sets of these plans, and can imagine potential next steps of this, or where to deploy resources. And I think in general, that's like the most powerful use of this, going back to prediction machines and just being able to really model time in a way that we've never had that capability before. And so you probably imagine the use is better than I.   Trevor Freeman  27:58 Oh man, it's super fascinating, and it's timely. We've gone through the last little while at hydro Ottawa, an exercise of updating our playbook for emergencies. So when there are outages, what kind of outage? What's the sort of, what are the trigger points to go from, you know, what we call a level one to a level two to level three. But all of this is sort of like people hours that are going into that, and we're thinking through these scenarios, and we've got a handful of them, and you're just kind of making me think, well, yeah, what if we were able to model that out? And you bring up this concept of agents, let's tease into that a little bit explain what you mean when you're talking about agents.   Greg Lindsay  28:36 Yeah, so agentic systems, as the term of art is, AI instantiations that have some level of autonomy. And the archetypal example of this is the Stanford Smallville experiment, where they took basically a dozen large language models and they gave it an architecture where they could give it a little bit of backstory, ruminate on it, basically reflect, think, decide, and then act. And in this case, they used it to plan a Valentine's Day party. So they played out real time, and the LLM agents, like, even played matchmaker. They organized the party, they sent out invitations, they did these sorts of things. Was very cute. They put it out open source, and like, three weeks later, another team of researchers basically put them to work writing software programs. So you can see they organized their own workflow. They made their own decisions. There was a CTO. They fact check their own work. And this is evolving into this grand vision of, like, 1000s, millions of agents, just like, just like you spin up today an instance of Amazon Web Services to, like, host something in the cloud. You're going to spin up an agent Nvidia has talked about doing with healthcare and others. So again, coming back to like, the energy implications of that, because it changes the whole pattern. Instead of huge training runs requiring giant data centers. You know, it's these agents who are making all these calls and doing more stuff at the edge, but, um, but yeah, in this case, it's the notion of, you know, what can you put the agents to work doing? And I bring this up again, back to, like, predictive maintenance, or for hydro Ottawa, there's another amazing paper called virtual in real life. And I chatted with one of the principal authors. It created. A half dozen agents who could play tour guide, who could direct you to a coffee shop, who do these sorts of things, but they weren't doing it in a virtual world. They were doing it in the real one. And to do it in the real world, you took the agent, you gave them a machine vision capability, so added that model so they could recognize objects, and then you set them loose inside a digital twin of the world, in this case, something very simple, Google Street View. And so in the paper, they could go into like New York Central Park, and they could count every park bench and every waste bin and do it in seconds and be 99% accurate. And so agents were monitoring the landscape. Everything's up, because you can imagine this in the real world too, that we're going to have all the time. AIS roaming the world, roaming these virtual maps, these digital twins that we build for them and constantly refresh from them, from camera data, from sensor data, from other stuff, and tell us what this is. And again, to me, it's really exciting, because that's finally like an operating system for the internet of things that makes sense, that's not so hardwired that you can ask agents, can you go out and look for this for me? Can you report back on this vital system for me? And they will be able to hook into all of these kinds of representations of real time data where they're emerging from, and give you aggregated reports on this one. And so, you know, I think we have more visibility in real time into the real world than we've ever had before.   Trevor Freeman  31:13 Yeah, I want to, I want to connect a few dots here for our listeners. So bear with me for a second. Greg. So for our listeners, there was a podcast episode we did about a year ago on our grid modernization roadmap, and we talked about one of the things we're doing with grid modernization at hydro Ottawa and utilities everywhere doing this is increasing the sensor data from our grid. So we're, you know, right now, we've got visibility sort of to our station level, sometimes one level down to some switches. But in the future, we'll have sensors everywhere on our grid, every switch, every device on our grid, will have a sensor gathering data. Obviously, you know, like you said earlier, millions and hundreds of millions of data points every second coming in. No human can kind of make decisions on that, and what you're describing is, so now we've got all this data points, we've got a network of information out there, and you could create this agent to say, Okay, you are. You're my transformer agent. Go out there and have a look at the run temperature of every transformer on the network, and tell me where the anomalies are, which ones are running a half a degree or two degrees warmer than they should be, and report back. And now I know hydro Ottawa, that the controller, the person sitting in the room, knows, Hey, we should probably go roll a truck and check on that transformer, because maybe it's getting end of life. Maybe it's about to go and you can do that across the entire grid. That's really fascinating,   Greg Lindsay  32:41 And it's really powerful, because, I mean, again, these conversations 20 years ago at IoT, you know you're going to have statistical triggers, and you would aggregate these data coming off this, and there was a lot of discussion there, but it was still very, like hardwired, and still very Yeah, I mean, I mean very probabilistic, I guess, for a word that went with agents like, yeah, you've now created an actual thing that can watch those numbers and they can aggregate from other systems. I mean, lots, lots of potential there hasn't quite been realized, but it's really exciting stuff. And this is, of course, where that whole direction of the industry is flowing. It's on everyone's lips, agents.   Trevor Freeman  33:12 Yeah. Another term you mentioned just a little bit ago that I want you to explain is a digital twin. So tell us what a digital twin is.   Greg Lindsay  33:20 So a digital twin is, well, the matrix. Perhaps you could say something like this for listeners of a certain age, but the digital twin is the idea of creating a model of a piece of equipment, of a city, of the world, of a system. And it is, importantly, it's physics based. It's ideally meant to represent and capture the real time performance of the physical object it's based on, and in this digital representation, when something happens in the physical incarnation of it, it triggers a corresponding change in state in the digital twin, and then vice versa. In theory, you know, you could have feedback loops, again, a lot of IoT stuff here, if you make changes virtually, you know, perhaps it would cause a change in behavior of the system or equipment, and the scales can change from, you know, factory equipment. Siemens, for example, does a lot of digital twin work on this. You know, SAP, big, big software companies have thought about this. But the really crazy stuff is, like, what Nvidia is proposing. So first they started with a digital twin. They very modestly called earth two, where they were going to model all the weather and climate systems of the planet down to like the block level. There's a great demo of like Jensen Wong walking you through a hurricane, typhoons striking the Taipei, 101, and how, how the wind currents are affecting the various buildings there, and how they would change that more recently, what Nvidia is doing now is, but they just at their big tech investor day, they just partner with General Motors and others to basically do autonomous cars. And what's crucial about it, they're going to train all those autonomous vehicles in an NVIDIA built digital twin in a matrix that will act, that will be populated by agents that will act like people, people ish, and they will be able to run millions of years of autonomous vehicle training in this and this is how they plan to catch up to. Waymo or, you know, if Tesla's robotaxis are ever real kind of thing, you know, Waymo built hardwired like trained on real world streets, and that's why they can only operate in certain operating domain environments. Nvidia is gambling that with large language models and transformer models combined with digital twins, you can do these huge leapfrog effects where you can basically train all sorts of synthetic agents in real world behavior that you have modeled inside the machine. So again, that's the kind, that's exactly the kind of, you know, environment that you're going to train, you know, your your grid of the future on for modeling out all your contingency scenarios.   Trevor Freeman  35:31 Yeah, again, you know, for to bring this to the to our context, a couple of years ago, we had our the direcco. It's a big, massive windstorm that was one of the most damaging storms that we've had in Ottawa's history, and we've made some improvements since then, and we've actually had some great performance since then. Imagine if we could model that derecho hitting our grid from a couple different directions and figure out, well, which lines are more vulnerable to wind speeds, which lines are more vulnerable to flying debris and trees, and then go address that and do something with that, without having to wait for that storm to hit. You know, once in a decade or longer, the other use case that we've talked about on this one is just modeling what's happening underground. So, you know, in an urban environments like Ottawa, like Montreal, where you are, there's tons of infrastructure under the ground, sewer pipes, water pipes, gas lines, electrical lines, and every time the city wants to go and dig up a road and replace that road, replace that sewer, they have to know what's underground. We want to know what's underground there, because our infrastructure is under there. As the electric utility. Imagine if you had a model where you can it's not just a map. You can actually see what's happening underground and determine what makes sense to go where, and model out these different scenarios of if we underground this line or that line there. So lots of interesting things when it comes to a digital twin. The digital twin and Agent combination is really interesting as well, and setting those agents loose on a model that they can play with and understand and learn from. So talk a little bit about.   Greg Lindsay  37:11 that. Yeah. Well, there's a couple interesting implications just the underground, you know, equipment there. One is interesting because in addition to, like, you know, you know, having captured that data through mapping and other stuff there, and having agents that could talk about it. So, you know, next you can imagine, you know, I've done some work with augmented reality XR. This is sort of what we're seeing again, you know, meta Orion has shown off their concept. Google's brought back Android XR. Meta Ray Bans are kind of an example of this. But that's where this data will come from, right? It's gonna be people wearing these wearables in the world, capturing all this camera data and others that's gonna be fed into these digital twins to refresh them. Meta has a particularly scary demo where you know where you the user, the wearer leaves their keys on their coffee table and asks metas, AI, where their coffee where their keys are, and it knows where they are. It tells them and goes back and shows them some data about it. I'm like, well, to do that, meta has to have a complete have a complete real time map of your entire house. What could go wrong. And that's what all these companies aspire to of reality. So, but yeah, you can imagine, you know, you can imagine a worker. And I've worked with a startup out of urban X, a Canada startup, Canadian startup called context steer. And you know, is the idea of having real time instructions and knowledge manuals available to workers, particularly predictive maintenance workers and line workers. So you can imagine a technician dispatched to deal with this cut in the pavement and being able to see with XR and overlay of like, what's actually under there from the digital twin, having an AI basically interface with what's sort of the work order, and basically be your assistant that can help you walk you through it, in case, you know, you run into some sort of complication there, hopefully that won't be, you know, become like, turn, turn by turn, directions for life that gets into, like, some of the questions about what we wanted out of our workforce. But there's some really interesting combinations of those things, of like, you know, yeah, mapping a world for AIS, ais that can understand it, that could ask questions in it, that can go probe it, that can give you advice on what to do in it. All those things are very close for good and for bad.   Trevor Freeman  39:03 You kind of touched on my next question here is, how do we make sure this is all in the for good or mostly in the for good category, and not the for bad category you talk in one of the papers that you wrote about, you know, AI and augmented reality in particular, really expanding the attack surface for malicious actors. So we're creating more opportunities for whatever the case may be, if it's hacking or if it's malware, or if it's just, you know, people that are up to nefarious things. How do we protect against that? How do we make sure that our systems are safe that the users of our system. So in our case, our customers, their data is safe, their the grid is safe. How do we make sure that?   Greg Lindsay  39:49 Well, the very short version is, whatever we're spending on cybersecurity, we're not spending enough. And honestly, like everybody who is no longer learning to code, because we can be a quad or ChatGPT to do it, I. Is probably there should be a whole campaign to repurpose a big chunk of tech workers into cybersecurity, into locking down these systems, into training ethical systems. There's a lot of work to be done there. But yeah, that's been the theme for you know that I've seen for 10 years. So that paper I mentioned about sort of smart homes, the Internet of Things, and why people would want a smart home? Well, yeah, the reason people were skeptical is because they saw it as basically a giant attack vector. My favorite saying about this is, is, there's a famous Arthur C Clarke quote that you know, any sufficiently advanced technology is magic Tobias Ravel, who works at Arup now does their head of foresight has this great line, any sufficiently advanced hacking will feel like a haunting meaning. If you're in a smart home that's been hacked, it will feel like you're living in a haunted house. Lights will flicker on and off, and systems will turn and go haywire. It'll be like you're living with a possessed house. And that's true of cities or any other systems. So we need to do a lot of work on just sort of like locking that down and securing that data, and that is, you know, we identified, then it has to go all the way up and down the supply chain, like you have to make sure that there is, you know, a chain of custody going back to when components are made, because a lot of the attacks on nest, for example. I mean, you want to take over a Google nest, take it off the wall and screw the back out of it, which is a good thing. It's not that many people are prying open our thermostats, but yeah, if you can get your hands on it, you can do a lot of these systems, and you can do it earlier in the supply chain and sorts of infected pieces and things. So there's a lot to be done there. And then, yeah, and then, yeah, and then there's just a question of, you know, making sure that the AIs are ethically trained and reinforced. And, you know, a few people want to listeners, want to scare themselves. You can go out and read some of the stuff leaking out of anthropic and others and make clot of, you know, models that are trying to hide their own alignments and trying to, like, basically copy themselves. Again, I don't believe that anything things are alive or intelligent, but they exhibit these behaviors as part of the probabilistic that's kind of scary. So there's a lot to be done there. But yeah, we worked on this, the group that I do foresight with Arizona State University threat casting lab. We've done some work for the Secret Service and for NATO and, yeah, there'll be, you know, large scale hackings on infrastructure. Basically the equivalent can be the equivalent can be the equivalent to a weapons of mass destruction attack. We saw how Russia targeted in 2014 the Ukrainian grid and hacked their nuclear plans. This is essential infrastructure more important than ever, giving global geopolitics say the least, so that needs to be under consideration. And I don't know, did I scare you enough yet? What are the things we've talked through here that, say the least about, you know, people being, you know, tricked and incepted by their AI girlfriends, boyfriends. You know people who are trying to AI companions. I can't possibly imagine what could go wrong there.   Trevor Freeman  42:29 I mean, it's just like, you know, I don't know if this is 15 or 20, or maybe even 25 years ago now, like, it requires a whole new level of understanding when we went from a completely analog world to a digital world and living online, and people, I would hope, to some degree, learned to be skeptical of things on the internet and learned that this is that next level. We now need to learn the right way of interacting with this stuff. And as you mentioned, building the sort of ethical code and ethical guidelines into these language models into the AI. Learning is pretty critical for our listeners. We do have a podcast episode on cybersecurity. I encourage you to go listen to it and reassure yourself that, yes, we are thinking about this stuff. And thanks, Greg, you've given us lots more to think about in that area as well. When it comes to again, looking back at utilities and managing the grid, one thing we're going to see, and we've talked a lot about this on the show, is a lot more distributed generation. So we're, you know, the days of just the central, large scale generation, long transmission lines that being the only generation on the grid. Those days are ending. We're going to see more distributed generations, solar panels on roofs, batteries. How does AI help a utility manage those better, interact with those better get more value out of those things?   Greg Lindsay  43:51 I guess that's sort of like an extension of some of the trends I was talking about earlier, which is the notion of, like, being able to model complex systems. I mean, that's effectively it, right, like you've got an increasingly complex grid with complex interplays between it, you know, figuring out how to basically based on real world performance, based on what you're able to determine about where there are correlations and codependencies in the grid, where point where choke points could emerge, where overloading could happen, and then, yeah, basically, sort of building that predictive system to Basically, sort of look for what kind of complex emergent behavior comes out of as you keep adding to it and and, you know, not just, you know, based on, you know, real world behavior, but being able to dial that up to 11, so to speak, and sort of imagine sort of these scenarios, or imagine, you know, what, what sort of long term scenarios look like in terms of, like, what the mix, how the mix changes, how the geography changes, all those sorts of things. So, yeah, I don't know how that plays out in the short term there, but it's this combination, like I'm imagining, you know, all these different components playing SimCity for real, if one will.   Trevor Freeman  44:50 And being able to do it millions and millions and millions of times in a row, to learn every possible iteration and every possible thing that might happen. Very cool. Okay. So last kind of area I want to touch on you did mention this at the beginning is the the overall power implications of of AI, of these massive data centers, obviously, at the utility, that's something we are all too keenly aware of. You know, the stat that that I find really interesting is a normal Google Search compared to, let's call it a chat GPT search. That chat GPT search, or decision making, requires 10 times the amount of energy as that just normal, you know, Google Search looking out from a database. Do you see this trend? I don't know if it's a trend. Do you see this continuing like AI is just going to use more power to do its decision making, or will we start to see more efficiencies there? And the data centers will get better at doing what they do with less energy. What is the what does the future look like in that sector?   Greg Lindsay  45:55 All the above. It's more, is more, is more! Is the trend, as far as I can see, and every decision maker who's involved in it. And again, Jensen Wong brought this up at the big Nvidia Conference. That basically he sees the only constraint on this continuing is availability of energy supplies keep it going and South by Southwest. And in some other conversations I've had with bandwidth companies, telcos, like laying 20 lumen technologies, United States is laying 20,000 new miles of fiber optic cables. They've bought 10% of Corning's total fiber optic output for the next couple of years. And their customers are the hyperscalers. They're, they're and they're rewiring the grid. That's why, I think it's interesting. This has something, of course, for thinking about utilities, is, you know, the point to point Internet of packet switching and like laying down these big fiber routes, which is why all the big data centers United States, the majority of them, are in north of them are in Northern Virginia, is because it goes back to the network hub there. Well, lumen is now wiring this like basically this giant fabric, this patchwork, which can connect data center to data center, and AI to AI and cloud to cloud, and creating this entirely new environment of how they are all directly connected to each other through some of this dedicated fiber. And so you can see how this whole pattern is changing. And you know, the same people are telling me that, like, yeah, the where they're going to build this fiber, which they wouldn't tell me exactly where, because it's very tradable, proprietary information, but, um, but it's following the energy supplies. It's following the energy corridors to the American Southwest, where there's solar and wind in Texas, where you can get natural gas, where you can get all these things. It will follow there. And I of course, assume the same is true in Canada as we build out our own sovereign data center capacity for this. So even, like deep seek, for example, you know, which is, of course, the hyper efficient Chinese model that spooked the markets back in January. Like, what do you mean? We don't need a trillion dollars in capex? Well, everyone's quite confident, including again, Jensen Wong and everybody else that, yeah, the more efficient models will increase this usage. That Jevons paradox will play out once again, and we'll see ever more of it. To me, the question is, is like as how it changes? And of course, you know, you know, this is a bubble. Let's, let's, let's be clear, data centers are a bubble, just like railroads in 1840 were a bubble. And there will be a bust, like not everyone's investments will pencil out that infrastructure will remain maybe it'll get cheaper. We find new uses for it, but it will, it will eventually bust at some point and that's what, to me, is interesting about like deep seeking, more efficient models. Is who's going to make the wrong investments in the wrong places at the wrong time? But you know, we will see as it gathers force and agents, as I mentioned. You know, they don't require, as much, you know, these monstrous training runs at City sized data centers. You know, meta wanted to spend $200 billion on a single complex, the open AI, Microsoft, Stargate, $500 billion Oracle's. Larry Ellison said that $100 billion is table stakes, which is just crazy to think about. And, you know, he's permitting three nukes on site. So there you go. I mean, it'll be fascinating to see if we have a new generation of private, private generation, right, like, which is like harkening all the way back to, you know, the early electrical grid and companies creating their own power plants on site, kind of stuff. Nicholas Carr wrote a good book about that one, about how we could see from the early electrical grid how the cloud played out. They played out very similarly. The AI cloud seems to be playing out a bit differently. So, so, yeah, I imagine that as well, but, but, yeah, well, inference happen at the edge. We need to have more distributed generation, because you're gonna have AI agents that are going to be spending more time at the point of request, whether that's a laptop or your phone or a light post or your autonomous vehicle, and it's going to need more of that generation and charging at the edge. That, to me, is the really interesting question. Like, you know, when these current generation models hit their limits, and just like with Moore's law, like, you know, you have to figure out other efficiencies in designing chips or designing AIS, how will that change the relationship to the grid? And I don't think anyone knows quite for sure yet, which is why they're just racing to lock up as many long term contracts as they possibly can just get it all, core to the market.   Trevor Freeman  49:39 Yeah, it's just another example, something that comes up in a lot of different topics that we cover on this show. Everything, obviously, is always related to the energy transition. But the idea that the energy transition is really it's not just changing fuel sources, like we talked about earlier. It's not just going from internal combustion to a battery. It's rethinking the. Relationship with energy, and it's rethinking how we do things. And, yeah, you bring up, like, more private, massive generation to deal with these things. So really, that whole relationship with energy is on scale to change. Greg, this has been a really interesting conversation. I really appreciate it. Lots to pack into this short bit of time here. We always kind of wrap up our conversations with a series of questions to our guests. So I'm going to fire those at you here. And this first one, I'm sure you've got lots of different examples here, so feel free to give more than one. What is a book that you've read that you think everybody should read?   Greg Lindsay  50:35 The first one that comes to mind is actually William Gibson's Neuromancer, which is which gave the world the notion of cyberspace and so many concepts. But I think about it a lot today. William Gibson, Vancouver based author, about how much in that book is something really think about. There is a digital twin in it, an agent called the Dixie flatline. It's like a former program where they cloned a digital twin of him. I've actually met an engineering company, Thornton Thomas Eddie that built a digital twin of one of their former top experts. So like that became real. Of course, the matrix is becoming real the Turing police. Yeah, there's a whole thing in there where there's cops to make sure that AIS don't get smarter. I've been thinking a lot about, do we need Turing police? The EU will probably create them. And so that's something where you know the proof, again, of like science fiction, its ability in world building to really make you think about these implications and help for contingency planning. A lot of foresight experts I work with think about sci fi, and we use sci fi for exactly that reason. So go read some classic cyberpunk, everybody.   Trevor Freeman  51:32 Awesome. So same question. But what's a movie or a show that you think everybody should take a look at?   Greg Lindsay  51:38 I recently watched the watch the matrix with ideas, which is fun to think about, where the villains are, agents that villains are agents. That's funny how that terms come back around. But the other one was thinking about the New Yorker recently read a piece on global demographics and the fact that, you know, globally, less and less children. And it made several references to Alfonso Quons, Children of Men from 2006 which is, sadly, probably the most prescient film of the 21st Century. Again, a classic to watch, about imagining in a world where we don't where you where you lose faith in the future, what happens, and a world that is not having children as a world that's losing faith in its own future. So that's always haunted me.   Trevor Freeman  52:12 It's funny both of those movies. So I've got kids as they get, you know, a little bit older, a little bit older, we start introducing more and more movies. And I've got this list of movies that are just, you know, impactful for my own adolescent years and growing up. And both matrix and Children of Men are on that list of really good movies that I just need my kids to get a little bit older, and then I'm excited to watch with them. If someone offered you a free round trip flight anywhere in the world, where would you go?   Greg Lindsay  52:40 I would go to Venice, Italy for the Architecture Biennale, which I will be on a plane in May, going to anyway. And the theme this year is intelligence, artificial, natural and collective. So it should be interesting to see the world's brightest architects. Let's see what we got. But yeah, Venice, every time, my favorite city in the world.   Trevor Freeman  52:58 Yeah, it's pretty wonderful. Who is someone that you admire?   Greg Lindsay  53:01 Great question.

On this episode of the AI/XR Podcast, Charlie Fink, Ted Schilowitz, and Rony Abovitz welcome Brent Bushnell, co-founder of DreamPark, for an energizing conversation about the future of mixed reality entertainment. Brent shares how DreamPark turns public spaces into interactive theme parks using Meta Quest 3 headsets, enabling immersive gameplay on city streets, at malls, and even music festivals. The hosts reflect on the legacy of Magic Leap, the overlooked brilliance of the Magic Leap game Dr. Grordbort's Invaders, made exclusively for Magic Leap by New Zealand's WETA studio. Rony compares Brent's vision to Walt Disney, and the brainstorm an entire Dream Park business plan, discussing everything from retrofitting dead malls to launching pop-ups at Buc-ee's and Walmart. Along the way, they discuss the shortcomings of Apple Vision Pro, Magic Leap's lost potential, and the promise of scalable location-based XR. Equal parts XR therapy session and founder love-fest, this episode captures what happens when tech dreamers like Brent Bushnell find a working prototype.Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @TheAIXRPodcasthttps://linktr.ee/thisweekinxr Hosted on Acast. See acast.com/privacy for more information.

#gtalksradio x NEW INC present: Srushti Kamat is a producer and founder of Algae, a Singapore-based company focused on solving for the distribution gap in XR. By leveraging community as audience and fostering international co-productions and partnerships with newer vendors and venues, algae.media also has an original content arm focused on financing, supporting and building an ecosystem of underrepresented creators either using or interested in AI and XR tools. Tracklist: Little Simz feat. Cleo Sol — Woman J. Cole — Change Never Stopped — BNXN Jhené Aiko — W.A.Y.S. Shafqat Amanat Ali — Dildaara (Stand by Me) Special series @gtalksradio at NEW INC brings together the diasporic approach of gtalks! radio and the experimental ethos of NEW INC, the first museum-led incubator for art, design, and technology founded by the New Museum in 2014. Each episode is a peek into the practice of storytellers through different mediums. Curating advice and visibility for communities navigating the emerging landscape of art, technology, and entrepreneurship. Between conversations, featured guests share a playlist of their most played recent tunes, as a sonic backdrop to their creative process. The show is recorded in the NEW INC office, reimagined as a vessel for dissecting the intersectionality of art, design, and technology through individual conversations. The series' jingle is the work of composer and sound artist Etienne Mason, known professionally as MAYSUN. MAYSUN, recognized for his unique fusion of drumming and immersive soundscapes, has crafted a piece that features a sampled string riff from the Uyghur Sataer, ساتار. This riff was recorded by Gulnihal during her recent visit to Kashgar, China. Artist IG: https://www.instagram.com/algaemedia/ Artist Website: https://algae.media Radio IG: www.instagram.com/gtalksradio/ Dublab: www.dublab.com/shows/gtalks-radio Sound Artist: www.instagram.com/maysun.music/

Here's my interview with Keiichi Matsuda, Designer and Director of Liquid City, that was conducted on Thursday, June 12, 2025 at Augmented World Expo in Long Beach, CA. In the introduction, I read through Matsuda's essay titled "Gods" (also uploaded here) where he explores the idea that AI should be more like pets and polytheistic and animistic familiars rather than the more monotheistic approach where there's one true AI God represented by one of Big Tech's omniscient and all-powerful AI systems. This approach has lead Matsuda to developing a system of what he calls "parabrains" that is an interface for AI agents that goes beyond the narrative scripting capabilities that he was exploring in inworld.ai with his project MeetWol that I covered previously at AWE 2023. A lot of Matsuda's ideas were also explored in the speculative fiction short film called Agents that was produced in collaboration with what was a the time Niantic Labs and is now Niantic Spatial (check out my interview with Niantic Spatial at AWE 2025 for more on how they're using Matsuda's Parabrains system). And you can also see more context in the rough transcript below. This is episode #41 of 41 of my AWE Past and Present series totaling 24.5 hours. You can see a list of all of the interviews down below: #1590: AWE Past and Present: Ori Inbar on the Founding of Augmented World Expo to Cultivate the XR Community #1591: Sonya Haskins' Journey to Head of Programming at Augmented World Expo #1592: Highlights of AWE 2025 from Head of Programming Sonya Haskins #1593: From Military to Enterprise VR Training with Mass Virtual on Spatial Learning #1594: Part 1: Rylan Pozniak-Daniels' Journey into XR Development (2019) #1595: Part 2: Rylan Pozniak-Daniels' Journey into XR Development (2025) #1596: Engage XR's Virtual Concert as Experiential Advertising for their Immersive Learning Platform (2023) #1597: Educator Vasilisa Glauser on Using VR for Twice Exceptional Students #1598: Part 1: Immersive Data Visualization with BadVR's Suzanne Borders (2018) #1599: Part 2: Immersive Data Visualization with BadVR's Suzanne Borders (2021) #1600: Part 1: Jason Marsh on Telling Data Stories with Flow Immersive (2018) #1601: Part 2: Jason Marsh on Telling Data Stories with Flow Immersive (2019) #1602: Part 3: Jason Marsh on Telling Data Stories with Flow Immersive (2025) #1603: Spatial Analytics with Cognitive3D's Tony Bevilacqua (2023) #1604: Investing in Female Founders with WXR Fund's Amy LaMeyer + Immersive Music Highlights (2019) #1605: Rapid Prototyping in VR with ShapesXR + 2021 Launch with CEO Inga Petryaevskaya #1606: Weekly Meetups in VR with XR Women Founder Karen Alexander #1607: 2023 XR Women Innovation Award Winner Deirdre V. Lyons on Immersive Theater #1608: AWE Hall of Famer Brenda Laurel on "Computers as Theater" Book, Ethics, and VR for Ecological Thinking #1609: Framework for Personalized, Responsive XR Stories with Narrative Futurist Joshua Rubin #1610: Scouting XR & AI Infrastructure Trends with Nokia's Leslie Shannon #1611: Socratic Debate on Future of AI & XR from AWE 2025 Panel #1612: AWE Hall of Famer Gregory Panos's Journey into VR: Identity, Body Capture, and Virtual Immortalization #1613: VR Content Creator Matteo311 on the State of VR Gaming #1614: Story Behind "Escape Artist" 2024 Polys WebXR Awards Winner #1615: Viverse's WebXR Plublishing Strategy with James C. Kane & "In Tirol" Game #1616: Founding Story of Two Bit Circus Micro-Amusement Park with Brent Bushnell & Eric Gradman (2018) #1617: Dream Park: Using MR in Public Spaces to Create Downloadable Theme Parks with Brent Bushnell & Aidan Wolf #1618: Producing Live Sports for Cosm's Immersive Dome with Ryan Cole #1619: Deploying Snap Spectacles in Verse Immersive AR LBE with Enklu's Ray Kallmeyer #1620: Snap's Head of Hardware Scott Myers on Spectacles Announcements & Ecosystem Update

Here's my interview with Ziad Asghar, Qualcomm's Senior Vice President & General Manager of XR & Spatial Computing, that was conducted on Wednesday, June 11, 2025 at Augmented World Expo in Long Beach, CA. See more context in the rough transcript below. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

Here's my interview with Karl Guttag of the KGOnTech Blog as well as independent analyst for consumer XR display devices and systems that was conducted on Thursday, June 1, 2023 at Augmented World Expo in Santa Clara, CA. See more context in the rough transcript below. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

Here's the panel discussion of Socratic Dialogue on the Future of AI and Immersive Technology with Alvin Wang Graylin, Kent Bye, Louis Rosenberg, Leslie Shannon that was recorded on the main stage of Augmented World Expo on Thursday, June 12, 2025 at Augmented World Expo in Long Beach, CA. See more context in the rough transcript below, and you can watch the original video here. Here's some other relevant episodes that I've done recently in preparation for this debate on AI: #1563: Deconstructing AI Hype with “The AI Con” Authors Emily M. Bender and Alex Hanna #1568: A Process-Relational Philosophy View on AI, Intelligence, & Consciousness with Matt Segall #1585: Debating AI Project and a Curating Taiwanese LBE VR Exhibition at Museum of Moving Image #1609: Framework for Personalized, Responsive XR Stories with Narrative Futurist Joshua Rubin #1610: Scouting XR & AI Infrastructure Trends with Nokia's Leslie Shannon #1629: Niantic Spatial is Building an AI-Powered Map with Snap for AR Glasses & AI Agents #1630: Keiichi Matsuda on Metaphors for AI Agents in XR User Experience: From Omniscient Gods to Animistic Familiars #1611: Socratic Debate on Future of AI & XR from AWE 2025 Panel This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

Here's my interview with Ori Inbar, co-founder at Super Ventures and Augmented World Expo, that was conducted on Friday, June 2, 2023 at Augmented World Expo in Santa Clara, CA. See more context in the rough transcript below. This AWE Past and Present series represents 41 interviews and 24.5 hours of coverage from AWE 2025 as well as past enterprise XR conferences gatherings from 2018-2025 and should hopefully give a good overview of some of the current trends and discussions happening within the industry. #1590: AWE Past and Present: Ori Inbar on the Founding of Augmented World Expo to Cultivate the XR Community #1591: Sonya Haskins' Journey to Head of Programming at Augmented World Expo #1592: Highlights of AWE 2025 from Head of Programming Sonya Haskins #1593: From Military to Enterprise VR Training with Mass Virtual on Spatial Learning #1594: Part 1: Rylan Pozniak-Daniels' Journey into XR Development (2019) #1595: Part 2: Rylan Pozniak-Daniels' Journey into XR Development (2025) #1596: Engage XR's Virtual Concert as Experiential Advertising for their Immersive Learning Platform (2023) #1597: Educator Vasilisa Glauser on Using VR for Twice Exceptional Students #1598: Part 1: Immersive Data Visualization with BadVR's Suzanne Borders (2018) #1599: Part 2: Immersive Data Visualization with BadVR's Suzanne Borders (2021) #1600: Part 1: Jason Marsh on Telling Data Stories with Flow Immersive (2018) #1601: Part 2: Jason Marsh on Telling Data Stories with Flow Immersive (2019) #1602: Part 3: Jason Marsh on Telling Data Stories with Flow Immersive (2025) #1603: Spatial Analytics with Cognitive3D's Tony Bevilacqua (2023) #1604: Investing in Female Founders with WXR Fund's Amy LaMeyer + Immersive Music Highlights (2019) #1605: Rapid Prototyping in VR with ShapesXR + 2021 Launch with CEO Inga Petryaevskaya #1606: Weekly Meetups in VR with XR Women Founder Karen Alexander #1607: 2023 XR Women Innovation Award Winner Deirdre V. Lyons on Immersive Theater #1608: AWE Hall of Famer Brenda Laurel on "Computers as Theater" Book, Ethics, and VR for Ecological Thinking #1609: Framework for Personalized, Responsive XR Stories with Narrative Futurist Joshua Rubin #1610: Scouting XR & AI Infrastructure Trends with Nokia's Leslie Shannon #1611: Socratic Debate on Future of AI & XR from AWE 2025 Panel #1612: AWE Hall of Famer Gregory Panos's Journey into VR: Identity, Body Capture, and Virtual Immortalization #1613: VR Content Creator Matteo311 on the State of VR Gaming #1614: Story Behind "Escape Artist" 2024 Polys WebXR Awards Winner #1615: Viverse's WebXR Plublishing Strategy with James C. Kane & "In Tirol" Game #1616: Founding Story of Two Bit Circus Micro-Amusement Park with Brent Bushnell & Eric Gradman (2018) #1617: Dream Park: Using MR in Public Spaces to Create Downloadable Theme Parks with Brent Bushnell & Aidan Wolf #1618: Producing Live Sports for Cosm's Immersive Dome with Ryan Cole #1619: Deploying Snap Spectacles in Verse Immersive AR LBE with Enklu's Ray Kallmeyer #1620: Snap's Head of Hardware Scott Myers on Spectacles Announcements & Ecosystem Update #1621: Karl Guttag's Technical Deep-Dive and Analysis of Consumer XR Displays and LCoS (2023) #1622: Qualcomm's 2023 AWE Announcements for Snapdragon Spaces Ecosystem #1623: Qualcomm's 2025 AWE Announcements and Android XR Partnerships with Ziad Asghar #1624: Tom Emrich's State of AR in 2018 #1625: Tom Emrich's "The Next Dimension" Book on AR for Marketing & Business Growth #1626: New Spatial Entities OpenXR Extension to Scan, Detect, & Track Planes with Khronos Group President Neil Trevett #1627: Part 1: Caitlin Krause on Bringing Mindfulness Practices into VR (2019) #1628: Part 2: Caitlin Krause on "Digital Wellbeing" Theory and Practice with XR & AI (2025) #1629: Niantic Spatial is Building an AI-Powered Map with Snap for AR Glasses & AI Agents

The training room is changing, and it's not going back. In this episode, I sat down with Phil Friedman, the founder and CEO of CGS Inc., to explore how AI, avatars, and immersive simulations are rewriting the playbook on workplace training. With over four decades at the helm of CGS—a company he built from scratch after immigrating to the US—Phil brings a perspective shaped by both technological evolution and global business experience. The heart of our conversation centered on Cicero, CGS's AI-driven platform that blends artificial intelligence with extended reality to create dynamic, real-time role-play simulations. Far from just another e-learning tool, Cicero tackles one of the biggest blind spots in workforce development today: soft skills. From objection handling in medical device sales to flight attendant training and fast-food onboarding, the platform is being used to scale training faster, cheaper, and more effectively than traditional classroom or online methods ever could. What really stood out was how Phil views this as a moment of acceleration rather than disruption. AI isn't here to replace human trainers or eliminate roles; it's a tool that can deepen learning and speed up how people acquire both interpersonal and job-specific skills. In a world where young workers are more comfortable with gaming engines than whiteboards, the immersive, responsive nature of AI-powered simulations offers a natural fit. Phil shared compelling stories from industries like healthcare, aviation, and fast food, where training time has been slashed from months to days. But more than the metrics, it's the idea that training can now adapt in real time, simulate unpredictable human behavior, and offer meaningful feedback immediately that points to where we're headed next. As AI and XR technologies converge, what will it mean when every employee can have a personalized, just-in-time coach at their fingertips?

Send us a textJoin hosts Alex Sarlin and Ben Kornell as they break down a pivotal week in EdTech, from AI breakthroughs to Roblox's education push and the future of personalized learning.✨ Episode Highlights:[00:00:33] Quizlet report shows 85% of students and nearly 90% of teachers using AI, with different adoption patterns.[00:02:24] International Math Olympiad highlights AI's reasoning advances, earning a gold medal and raising assessment questions.[00:11:16] OpenAI agents and AI-native browsers signal a major shift in tech workflows and task automation.[00:16:58] Roblox launches a centralized learning hub featuring educational games from Google, Sesame, and others.[00:20:55] Pearson unveils an AI and XR innovation lab, sparking debate on whether incumbents can truly innovate.[00:29:13] U.S. Department of Education outlines new AI funding priorities for instruction, tutoring, and career navigation.[00:36:12] Preply challenges Duolingo with “Better Duo” campaign, framing human vs. AI tutoring as a key market battle.[00:37:31] McGraw Hill IPO and new funding rounds for Honor Education and Galaxy Education mark a busy week in EdTech finance.Plus, special guests:[00:39:50] Brad Carson, President of Americans for Responsible Innovation on AI policy and its impact on education.[01:04:44] Ryan Trattner, CTO and Co-Founder of StudyFetch on personalized learning tools and their rapid user growth.

En el podcast RadioGeek del 31 de julio de 2025, se abordaron diversos temas tecnológicos, incluyendo la posible fecha de lanzamiento anticipada del Samsung Galaxy S25 FE, las mejoras en Google Fotos con su nuevo editor de vídeo y la opción de copia de seguridad selectiva, y la oferta de NordVPN de un filtrado de llamadas similar al de Pixel para todos los dispositivos Android. También se trató el anuncio de PayPal sobre pagos globales con criptomonedas y la reducción de comisiones, la predicción de JPMorgan sobre el éxito del iPhone plegable de Apple, la controvertida acción de un CEO que reemplazó personal con inteligencia artificial, y los próximos lanzamientos de Samsung, como su teléfono triple plegable y auriculares XR. Finalmente, se mencionó el hito de Apple al vender 3 mil millones de iPhones. El Samsung Galaxy S25 FE Podría Lanzarse Antes de lo Esperado https://infosertecla.com/2025/07/31/el-samsung-galaxy-s25-fe-podria-lanzarse-antes-de-lo-esperado/ Google Fotos mejora su calidad con un nuevo editor de vídeo y copia de seguridad selectiva https://www.androidheadlines.com/2025/07/google-photos-starts-rolling-out-its-new-editor-experience-and-ui.html NordVPN ofrece un filtrado de llamadas similar al de Pixel pero para todos los dispositivos Android https://www.anrdoezrs.net/links/3905168/type/dlg/sid/UUapUeUpU1029512%7D/https://nordvpn.com/blog/scam-call-protection-android/ PayPal anuncia los pagos globales con criptomonedas reduciendo las comisiones https://newsroom.paypal-corp.com/2025-07-28-PayPal-Drives-Crypto-Payments-into-the-Mainstream,-Reducing-Costs-and-Expanding-Global-Commerce JPMorgan predice que el iPhone plegable de Apple será un gran éxito https://www.macrumors.com/2025/07/29/foldable-iphone-to-launch-in-september-2026/ Un CEO presume de sus despidos cambiando gente por inteligencia artificial https://gizmodo.com/the-end-of-work-as-we-know-it-2000635294 El teléfono triple plegable y los auriculares XR de Samsung se lanzarán este año https://www.sammobile.com/news/wheres-tri-folding-galaxy-phone-samsung-confirms-its-coming-soon/ Apple ya ha vendido 3 mil millones de iPhones https://www.apple.com/newsroom/2016/07/apple-celebrates-one-billion-iphones/ Video del día en las redes https://www.instagram.com/reel/DMydlFARKhL/ ESPERAMOS TUS COMENTARIOS...

In Part 3 of this Pulse Check series, Dave Hunt sits down with Maya Georgieva, Founding Senior Director of the Innovation Center and the XR, AI, and Quantum Labs at Parsons School of Design at The New School. Maya unpacks what it means to be a “narrative futurist” and explores how creative professionals can meaningfully engage with frontier technologies like spatial computing, generative AI, and quantum systems. The conversation dives deep into authorship, ethics, immersive storytelling, and how to maintain the human voice in an increasingly automated world.Guest Name: Maya Georgieva, Senior Director, Innovation Center - AI, XR (VR, AR, Spatial Computing) and Quantum Labs, The New SchoolGuest Social: https://www.linkedin.com/in/mayaig/Guest Bio: Maya Georgieva is a futurist, immersive storyteller, and global thought leader shaping the future of learning, creativity, and innovation. She is Senior Director of the Innovation Center and the XR, AI, and Quantum Labs at The New School, where she leads strategic work at the intersection of storytelling, emerging technologies, and design. At Parsons School of Design, Maya teaches the largest Immersive Storytelling course in the U.S., guiding students in building speculative worlds using VR, AR, and generative AI. A sought-after speaker and writer, Maya's work has been featured in the EDUCAUSE Review, The Economist, The Atlantic, and she has presented at the United Nations, UNESCO, SXSW, and more. Most recently, she co-authored several landmark reports on AI ethics, XR in education, and immersive learning. - - - -Connect With Our Host:Mallory Willsea https://www.linkedin.com/in/mallorywillsea/https://twitter.com/mallorywillseaAbout The Enrollify Podcast Network:The Higher Ed Pulse is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too!Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.

From the ATLIS Annual Conference 2025This episode replays a dynamic panel from the 2025 ATLIS Annual Conference, exploring the future of education with experts in AI, quantum computing, and extended reality (XR). Dr. Jacob Farinholt of Booz Allen, Vriti Saraf of Ed3 DAO, and Patrick Schuermann of Optima XR, along with students Jalen and Maggie, discuss how emerging technologies will reshape learning, the skills students will need, and why human-centered pedagogy remains critical.This episode of Talking Technology with ATLIS is sponsored by Ruvna.ResourcesBooz Allen: https://www.boozallen.comEd3 DAO: https://www.ed3dao.com/Optima Ed: https://optimaxr.ai/The Mount Vernon School: https://mountvernonschool.org/X Prize: https://www.xprize.org/ASU+GSV Summit: https://www.asugsvsummit.com/World Economic Forum: https://www.weforum.org/OECD (Organisation for Economic Co-operation and Development): https://www.oecd.org/UNESCO: https://www.unesco.org/enPine Crest School: https://www.pinecrest.edu/Woodward Academy: https://www.woodward.edu/"The Perfect Match" by Ken Liu: https://www.lightspeedmagazine.com/fiction/the-perfect-match/

เปิดพอดแคสต์เอพิโสดนี้ใน YouTube เพื่อประสบการณ์การรับชมที่ดีที่สุด สนาม AI กำลังเดือดกว่าที่เคย เมื่อคู่แข่งอย่าง OpenAI, Microsoft, Anthropic กำลังไล่ตามขึ้นมาแบบประชิด แล้ว Google ซึ่งเคยเป็น “ผู้นำด้านเทคโนโลยี” อยู่ตรงไหนของการแข่งขันครั้งนี้? ปีนี้ The Secret Sauce พาบินตรงสู่ Silicon Valley บุกงาน Google I/O 2025 ศูนย์รวมเทคโนโลยีสุดล้ำที่ทั่วโลกจับตา เพื่อหาคำตอบว่า ในสนามแข่งขันนี้ Google ไปไกลถึงไหนแล้ว? พวกเขามีอะไรเป็นเดิมพัน? และจะยังเป็นผู้นำเกม AI ได้อยู่ไหม? พร้อมกับสรุป Session พูดคุยกับ Sundar Pichai แบบเอ็กซ์คลูซีฟ และเจาะลึกกับสองมันสมองเบื้องหลังนวัตกรรม Gemini, Search และโลก XR Yossi Matias, Head of Google Research และ Juston Payne, Head of Product, XR

สนาม AI กำลังเดือดกว่าที่เคย เมื่อคู่แข่งอย่าง OpenAI, Microsoft, Anthropic กำลังไล่ตามขึ้นมาแบบประชิด แล้ว Google ซึ่งเคยเป็น “ผู้นำด้านเทคโนโลยี” อยู่ตรงไหนของการแข่งขันครั้งนี้? ปีนี้ The Secret Sauce พาบินตรงสู่ Silicon Valley บุกงาน Google I/O 2025 ศูนย์รวมเทคโนโลยีสุดล้ำที่ทั่วโลกจับตา เพื่อหาคำตอบว่า ในสนามแข่งขันนี้ Google ไปไกลถึงไหนแล้ว? พวกเขามีอะไรเป็นเดิมพัน? และจะยังเป็นผู้นำเกม AI ได้อยู่ไหม? พร้อมกับสรุป Session พูดคุยกับ Sundar Pichai แบบเอ็กซ์คลูซีฟ และเจาะลึกกับสองมันสมองเบื้องหลังนวัตกรรม Gemini, Search และโลก XR Yossi Matias, Head of Google Research และ Juston Payne, Head of Product, XR

What do your shoes do? On today's episode we're stepping into the future of footwear with Ian Harrison, creative disruptor, innovation catalyst, XR futurist and the Co-founder of SneakAR. SneakAR transforms your sneakers into a dynamic digital canvas with their revolutionary AR experience, turning your shoes into an interactive masterpiece with just a tap.Ian shares how SneakAR is disrupting traditional brand engagement by building unforgettable  “door knock moments" - unlocking the power of web3, XR and emerging tech to create "people-market fit" that results in lasting moments that matter.His unique path has taken him from music to manufacturing to the blockchain where his Culture Coin web3 solution was also nominated for an Auggie. Find out how brands, creators, musicians and athletes can literally put their best foot forward with SneakAR. Thanks for listening. We're on the road to 50 episodes! We appreciate all our subscribers and listeners around the globe.Zero to Start is now on YouTube. Subscribe on your favorite platform and follow us on LinkedIn for more voices shaping the future of XR.FEATURED LINKS:Ian Harrison on LinkedInSneakAR@sneakarshoeco on InstagramMuenstervision Incubate. Innovate. Integrate. KiTBetterThe Shoes of AWECONNECT WITH SICILIANA:LinkedInsicilianatrevino.comSend us a note!

I spoke with Michèle Stephenson, Joe Brewster, & idris brewster about There Goes Nikki at Tribeca Immersive 2025. See more context in the rough transcript below. (Photo by Mikhail Mishin courtesy of Onassis ONX) Tribeca Immersive 2025 Selection #1567: Tribeca Immersive Curators on the 2025 Selection of Impact Projects Curated by Onassis ONX, Agog, & Tribeca #1569: Family of Storytellers Creates an AR Memorial of Black Poet Nikki Giovanni with Epic Organic Garden Installation #1570: "The Founders Pillars and The Power Loom" Uses AR to Recontextualize Wall Street History Through African Textiles and Myths #1571: "Uncharted VR" Explores the Spatialization of African Languages and Knowledge through Immersive Architecture and Adowa Dance #1572: "The Innocence of Unknowing" Uses Socratic Dialogue with AI & Video Essay to Deconstruct Root Cases of Gun Violence #1573: Muslim Futurist "New Maqam City" Invites Users to Play with Mystic Sufi Beats to Imagine States of Flourishing #1574: Part 1: Co-Creation with XR for Building Community with "A Father's Lullaby" (2023) #1575: Part 2: Co-Creation with XR for Building Community with "A Father's Lullaby" (2025) Boreal Dreams Scent Onassis ONX Summer Showcase & Other Interviews #1579: The Backstory of ONX Studios and the Onassis Foundation's Support for XR Art & Innovation #1580: "Neuro-Cinema: From Synapse to Montage" Explores Bioethics Moral Dilemmas & BCI-Controlled Editing & Robotics #1581: The Story Behind "The Orixa Project" Series of XR Experiences #1582: Shawn Taylor on Fandom for Social Change, Polychronic Time, Worldbuilding & Future Dreaming #1583: From XR Storytelling to Museum to Ice Cream to AI: Michaela Ternasky-Holland's Entry into Immersive #1584: White Paper on XR for Impact Campaign Activation for "On the Morning You Wake to the End of the World" #1585: Debating AI Project and a Curating Taiwanese LBE VR Exhibition at Museum of Moving Image #1586: Academic Research on Immersive Storytelling with Philippe Bedard, co-editor of "States of Immersion Across Media: Bodies, Techniques, Practices" book #1587: "Space-Time Adventure Tour" AR Guided Tour to NYC Central Park Monuments #1588: Excurio on Bringing their High-Throughput, XR LBE Theaters to North America #1589: Using VR to Paint Dreams for Active Imagination, Collaborative Dreamwork, and Symbolic Contemplation This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

I spoke with the (now former) head of creative partnerships at ONX Vallejo Gantner at the Onassis ONX Summer Showcase 2023. We talked about the origin story of ONYX Studios as well the the Onassis Foundation's support for XR art and innovation. See more context in the rough transcript below. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

In this episode of TechMagic, Cathy Hackl is on vacation so host Lee Kebler is joined by Adam Davis McGee, where they unpack the latest tech headlines shaping the future of AI, VR, and gaming. They break down Senator Marco Rubio's call for AI regulation following a deepfake incident and Denmark's trailblazing AI liability laws. The duo also explores Apple Vision Pro's potential design upgrades, the unexpected Zoom integration in Meta Quest, and Nintendo's controversial Switch 2 game key card approach. Plus, they discuss how Atari's 1979 chess program outwits ChatGPT, revealing current AI limits. Tune in for sharp insights on the evolving balance between tech innovation and responsibility.Come for the tech, stay for the magic!Lee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInAdam Davis-McGee BioAdam Davis-McGee is a dynamic Creative Director and Producer specializing in immersive storytelling across XR and traditional media. As Senior Producer at Journey, he led the virtual studio, pioneering cutting-edge virtual experiences. He developed a Web3 playbook for Yum! Brands, integrating blockchain and NFT strategies. At Condé Nast, Adam produced engaging video content for Wired and Ars Technica, amplifying digital storytelling. His groundbreaking XR journalism project, In Protest: Grassroots Stories from the Frontlines (Oculus/Meta), captured historic moments in VR. Passionate about pushing creative boundaries, Adam thrives on crafting innovative narratives that captivate audiences worldwide.Adam Davis-McGee on LinkedInKey Discussion Topics:00:00 Intro: Welcome to Tech Magic with Lee Kebler and ADM03:25 AI Regulation: From Political Confusion to Real Action17:15 The Rise of AI-Generated Music and Content Authentication37:10 The Hidden Cost of AI: Electricity Bills Spike Across 13 States41:45 Apple Vision Pro: Design Missteps and Future Updates50:05 Meta Quest's Evolution: From Gaming to Zoom Integration54:30 When Old Meets New: Atari Chess vs Modern AI58:20 Nintendo Switch Key Cards: Digital vs Physical Gaming Culture01:02:00 Final Thoughts & Show Wrap-up Hosted on Acast. See acast.com/privacy for more information.

El CEO de NVIDIA, hablo del futuro de la IA y fue un tanto estricto en relación a lo que la IA podría hacer con los puestos de trabajo para el 2030, en el podcast hablamos de ello, ademas; ByteDance, estaría desarrollando sus propios lentes XR; Google Confirma la Fusión de ChromeOS con Android – El Futuro Unificado para sus Sistemas Operativos; Samsung recupera una parte del mercado mundial de teléfonos inteligentes. Por supuesto esperamos sus comentarios... El CEO de Nvidia Revela: ¡No Perderás Tu Trabajo por la IA, Sino por Quien la Use Mejor! https://infosertecla.com/2025/07/14/el-ceo-de-nvidia-revela-no-perderas-tu-trabajo-por-la-ia-sino-por-quien-la-use-mejor/ Google Confirma la Fusión de ChromeOS con Android – El Futuro Unificado para sus Sistemas Operativos https://infosertecla.com/2025/07/14/google-confirma-la-fusion-de-chromeos-con-android-el-futuro-unificado-para-sus-sistemas-operativos/ Videos – Los videos de la semana en nuestras redes https://infosertecla.com/2025/07/14/videos-los-videos-de-la-semana-en-nuestras-redes-132/ ByteDance, estaría desarrollando sus propios lentes XR https://www.theinformation.com/articles/bytedance-developing-mixed-reality-goggles-challenge-meta?rc=ezktej Samsung recupera una parte del mercado mundial de teléfonos inteligentes https://my.idc.com/getdoc.jsp?containerId=prUS53684525 Meta anuncia medidas enérgicas contra el contenido "no original" de Facebook https://creators.facebook.com/blog/combating-unoriginal-content

This week on NPC, lots of follow up about microSD Express cards, the Switch 2 Dock, XR glasses and the dbrand Killswitch, plus Retroid's second screen accessory, Windows handhelds, a new eGPU, and more. Also available on YouTube here. Links and Show Notes The Latest Portable Gaming News Follow Up Follow up on microSD Express cards 1TB microSD Express from Lexar briefly showed up on Amazon for $184 but sold out now - much less than we expected. Meanwhile SanDisk's 512GB card is showing August shipping dates on Amazon Switch 2 Dock Follow up Nintendo Switch 2 Travel Dock by CAD_is_my_Bane Download free STL model Printables.com I tested every 3rd party Nintendo Switch 2 dock so you don't have to - Mono Confirmed Nintendo's Switch 2 can work with existing docks and webcams after replacing their firmware The Verge XR Glasses and the Switch 2 Hagibis 8K 60Hz USB-C to HDMI 2.1 Cable PeakDo 4K HDMI To USB-C Adapter dbrand Killswitch followup dbrand has fixed their Switch 2 Joy-Con grips Do you have this yet Brendon? Retroid 2nd Screen Accessory Retroid Shows Off 3DS Emulation with Dual Screen Add-On Retroid Dual Screen Add-on Demo - YouTube Handheld News Miyoo Mini Flip Announced MSI Claw A8 with Ryzen Z2 Extreme tested performance rival for Lunar Lake - VideoCardz.com Xbox ASUS ROG Ally / Ally X Prices Leaked - $700 / $1050 Thunderbolt 5 eGPU [ONEXGPU Lite eGPU with Thunderbolt 5 is on the way](https://lilipu ting.com/onexgpu-lite-thunderbolt–5-egpu-is-on-the-way/) An Epilogue Update RetroAchievements and SNES later this year From the epilogue community on Reddit Subscribe to NPC XL NPC XL is a weekly members-only version of NPC with extra content, available exclusively through our new Patreon for $5/month. Each week on NPC XL, Federico, Brendon, and John record a special segment or deep dive about a particular topic that is released alongside the “regular” NPC episodes. You can subscribe here: https://www.patreon.com/c/NextPortableConsole Leave Feedback for John, Federico, and Brendon NPC Feedback Form Credits Show Art: Brendon Bigley Music: Will LaPorte Follow Us Online On the Web MacStories.net Wavelengths.online Follow us on Mastodon NPC Federico John Brendon Follow us on Bluesky NPC MacStories Federico Viticci John Voorhees Brendon Bigley Affiliate Linking Policy

On this week's AI/XR Podcast, Charlie Fink and Rony Abovitz welcome Ananya Chadha, founder of Quander.co, a startup building AI-powered marketing agents for businesses of all sizes. Chadha, a Stanford grad with experience at Neuralink and IBM, is betting that distribution—more than product—is the defining challenge for small and large businesses in an age of content overload. Quander's tools scrape social platforms for niche conversations and automate personalized outreach, while also optimizing ad creative based on performance data. The hosts discuss AI's growing role in media and marketing, Meta's $3.5B investment in Luxottica, and the rise of “AI slop” across the internet. They also touch on Nvidia's $4T valuation and XR news from Zoom, Mentra, and Sesame. Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @TheAIXRPodcasthttps://linktr.ee/thisweekinxr Hosted on Acast. See acast.com/privacy for more information.

David Esber is the Co-Founder and Chief Commercial Officer of Enviz, a platform revolutionizing how unbuilt properties are designed, marketed, and sold. Frustrated by the limitations of blueprints and static renders, David launched Enviz in 2019 to enable immersive, 1:1 virtual and augmented reality walkthroughs that bring unbuilt spaces to life. Since then, Enviz has helped thousands of users, architects, developers, and homebuilders visualize, refine, and sell their projects with greater impact, saving time, reducing errors, and enhancing customer engagement. At Enviz, David leads sales, marketing, and operations, driving the company's mission to empower 3D designers and shape the future of spatial visualization.(01:42) – Understanding VR, AR, ER / MR(02:51) – The Journey of Enviz(04:28) – Real-Time 3D Visualization(09:14) – The Future of AR(20:05) – Feature: Blueprint - The Future of Real Estate - Register for 2025: The Premier Event for Industry Executives, Real Estate & Construction Tech Startups and VC's, at The Venetian, Las Vegas on Sep. 16th-18th, 2025.(20:58) – Challenges & Costs(22:30) – Trust in Pre-Development Sales (26:33) – Targeting Architecture Firms & Large Clients (28:54) – Sales Cycles & Client Criteria(33:13) – Competition landscape & moats (39:45) – Collaboration Superpower: David's dad & Jaron Lanier (VR founder, Wiki)

¡Curiosinautas! Este episodio 238 de CuriosiMartes es una explosión de temas y futuro.

In this episode of The AI/XR Podcast, the hosts are joined by Scott Stein, contributing editor at CNET, to discuss the evolution of XR devices and the implications of spatial computing. In the news, Disney and Universal sued Midjourney, which has just released an AI image-to-video model to its subscribers. Google's Veo 3 excels at simulating AI vlogs, so the socials have been flooded with Star Troopers, Bigfoot, and Jesus meme videos. Guest Scott Stein reflects on his experience reviewing emerging tech for the past fifteen years, starting with computers and smartphones, which led to his coverage of XR. He emphasizes the challenges of evaluating early-stage products that promise future utility but may not yet deliver on their potential. The conversation explores the tension between immersive hardware aspirations and real-world practicality and the critical role of AI in resolving this tension. Throughout the episode, Stein expresses cautious optimism, acknowledging that while the path to mainstream adoption remains unclear, the intersection of AI and XR is undeniably reshaping computing's next chapter.Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @TheAIXRPodcasthttps://linktr.ee/thisweekinxr Hosted on Acast. See acast.com/privacy for more information.

Send us a textWhat if the future of storytelling wasn't passive—but fully immersive, interactive, and built by communities? In this mind-expanding episode, Joey Pinz dives deep into the metaverse with Athena Demos—co-founder and CEO of Big Rock Creative (BRC), the award-winning XR company behind BRCvr, Breonna's Garden, and the groundbreaking new BurnerSphere platform.Athena shares how immersive XR is reshaping art, activism, therapy, and human connection—from military haptics and PTSD healing to 360º Burning Man experiences that blend digital with dust.

In this episode of TechMagic, hosts Cathy Hackl and Adam Davis McGee dive into the cutting edge of spatial computing, AI, and extended reality. Lee is on sick leave this week and we wish him a speedy recovery! Join Cathy and Adam as they unpack Meta's XR partnership with Palmer Luckey, Snap's smart glasses ambitions, and Apple's sleek AR design strategy. Cathy dives into the strange world of vibe coding and discovers anyone can gamify the pitfalls of the dating scene. The conversation also explores AI dating experiments, haptic tech in entertainment, and the evolving ethics of privacy in a spatially connected world. With insights from AWE and ILMxLAB, the hosts reflect on the shift from storytelling to “story living” and highlight key legislation shaping AI security. A must-listen for anyone tracking the future of tech-human interaction.Come for the tech, stay for the magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInAdam Davis-McGee BioAdam Davis-McGee is a dynamic Creative Director and Producer specializing in immersive storytelling across XR and traditional media. As Senior Producer at Journey, he led the virtual studio, pioneering cutting-edge virtual experiences. He developed a Web3 playbook for Yum! Brands, integrating blockchain and NFT strategies. At Condé Nast, Adam produced engaging video content for Wired and Ars Technica, amplifying digital storytelling. His groundbreaking XR journalism project, In Protest: Grassroots Stories from the Frontlines (Oculus/Meta), captured historic moments in VR. Passionate about pushing creative boundaries, Adam thrives on crafting innovative narratives that captivate audiences worldwide.Adam Davis-McGee on LinkedInKey Discussion Topics:00:00 Intro: Welcome to Tech Magic with Cathy Hackl06:33 Meta's Eagle Eye: Military XR Partnership with Palmer Luckey14:05 Apple's Liquid Glass: Paving the Way for AR Glasses17:25 Haptic Innovation: Apple's F1 Movie Trailer Experience19:18 Human vs AI: Why F1 Racing Needs the Human Element22:27 Browser History Dating: AI's Latest Match-Making Experiment26:27 Snap's Vision: Consumer Smart Glasses Coming in 202631:27 From Storytelling to Story Living: ILMxLAB's Immersive Future33:54 Closing Thoughts: Summer Break Announcement Hosted on Acast. See acast.com/privacy for more information.

David, Devindra, and Jeff search for immortality in Fountain of Youth, look back on a lifetime of comedy with Pee-Wee as Himself, and crane kick their way through The Karate Kid Part II. Then they choose to accept the mission to share their thoughts on Mission: Impossible – The Final Reckoning. We're making video versions of our reviews! Be sure to follow us on the following platforms: YouTube Tiktok Instagram Threads Thanks to our SPONSOR:  STORYWORTH: Go to StoryWorth.com/filmcast and save $10 on your order. Weekly Plugs David - Decoding TV: Matt Goldberg's Recap of The Last of Us Finale and Decoding Everything: Stephen David Miller's Cannes Dispatches Devindra - Engadget Podcast: The AI and XR of Google I/O 2025 Jeff - runjeffrun.com Shownotes (All timestamps are approximate only)    What we've been watching (~00:08:51) David - Fountain of Youth Devindra - Fountain of Youth, Pee-Wee as Himself Jeff - Pee-Wee as Himself, The Karate Kid Part II Featured Review (~01:07:44)     Mission: Impossible – The Final Reckoning SPOILERS (~01:31:22) Support David's artistic endeavors at his Patreon and subscribe to his free newsletter Decoding Everything. Check out Jeff Cannata's podcasts DLC and We Have Concerns. Listen to Devindra's podcast with Engadget on all things tech. You can always e-mail us at slashfilmcast(AT)gmail(DOT)com. Credits: Our theme song is by Tim McEwan from The Midnight. This episode was edited by Noah Ross who also created our weekly plugs and spoiler bumper music. Our Slashfilmcourt music comes from Simon Harris. If you'd like advertise with us or sponsor us, please e-mail slashfilmcast@gmail.com. You can support the podcast by going to patreon.com/filmpodcast or by leaving a review on Apple Podcasts.