Podcasts about VR

On episode 277 of the Gaming Meal, join CyberEric and Manny, as we discussed all the recent gaming news (appetizers) from the past few weeks, including Kojima joining Xbox, the major Xbox restructuring, Destiny coming back, and new VR hardware. For more, please follow us on social media at: Twitter at www.twitter.com/GamingMeal, Twitch at www.twitch.tv/gamingmeal, and Facebook at www.facebook.com/gaming.meal.14. Thanks for listening, and please subscribe to the Gaming Meal Podcast!Music credit goes to SubspaceAudio, celestialghost8, Worlfgang, and mutkanto.#Podcast #GamingMeal #gamingnews #videogames #Cybereric #CyberEricGaming #PlayStation #Xbox #Nintendo #Steam

Federico Viticci of MacStories joins the show this week! Federico shares his experience using Apple's new M5 Ultra Mac Studio & running local AI agents with the machine. John Ternus is looking to get the company to run faster & leaner. And AT&T may not support Apple's new iPhone Handoff feature? M5 Ultra Mac Studio Review: The dream Mac for local AI agents. Apple's new CEO seeks to make company run faster and leaner. AT&T seemingly has no plans to support Apple's new iPhone Handoff feature. iPhone 18 Pro Face ID rebooting bug to be fixed in iOS update. Meta announces VR headset for $1299. Picks of the Week Federico's Picks: Open Minis, Cadu Bot, and Comet KVM Andy's Pick: Keychron K3 v2 Christina's Picks: Xounds Redux & FruitMenu Redux Hosts: Leo Laporte, Andy Ihnatko, and Christina Warren Guest: Federico Viticci Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: PaloAltoNetworks.com/Idira coveron.com/macbreakweekly and use code macbreakweekly cachefly.com/twit

In this episode of The Brainstorm, Sam, Nick, and Brett unpack Meta Connect, where Muse quietly replaced the metaverse as Zuckerberg's vision for the company. Nick walks through the hardware spread, from audio-only Ray-Bans with no camera, to a 100 gram VR headset at $1,300 that outspecs the Vision Pro at a third of the price, to the Muse Charm, a Tamagotchi-style agent device shipping for the holidays. Brett argues the real target was never virtual reality (VR) but Apple, and that loosening the smartphone's grip is worth more to Meta than any single device. Nick counters that the three things people actually do on their phones are untouched by any of it, and that Meta should just build a phone. Plus whether consumer agents arrived a graphical processing unit (GPU) generation too early, and why owning the consumer may be the best dollar Meta can spend and the one Wall Street would hate most.Key Points From This Episode:Why Meta's $1,300 headset outspecs the Vision Pro, and why that may not matter if nobody wants VRHow agent devices erode Apple's ecosystem lock-in without ever replacing the smartphoneWhy consumer agents may take five years to monetize, and which balance sheets can fund the gapIf you know ARK, you know we focus on long-term innovation. But that doesn't mean we ignore breaking news. Every day, we debate the latest developments in tech and markets. Now, we're bringing those conversations to you in “The Brainstorm,” a co-production from ARK, WOLF, and Public. Tune in weekly for our quick takes on what's shaping innovation right now.Learn more about WOLF: https://wolf.financialLearn more about Public: https://public.com/Disclosure: http://arkinv.st/39rzF94

Federico Viticci of MacStories joins the show this week! Federico shares his experience using Apple's new M5 Ultra Mac Studio & running local AI agents with the machine. John Ternus is looking to get the company to run faster & leaner. And AT&T may not support Apple's new iPhone Handoff feature? M5 Ultra Mac Studio Review: The dream Mac for local AI agents. Apple's new CEO seeks to make company run faster and leaner. AT&T seemingly has no plans to support Apple's new iPhone Handoff feature. iPhone 18 Pro Face ID rebooting bug to be fixed in iOS update. Meta announces VR headset for $1299. Picks of the Week Federico's Picks: Open Minis, Cadu Bot, and Comet KVM Andy's Pick: Keychron K3 v2 Christina's Picks: Xounds Redux & FruitMenu Redux Hosts: Leo Laporte, Andy Ihnatko, and Christina Warren Guest: Federico Viticci Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: PaloAltoNetworks.com/Idira coveron.com/macbreakweekly and use code macbreakweekly cachefly.com/twit

Federico Viticci of MacStories joins the show this week! Federico shares his experience using Apple's new M5 Ultra Mac Studio & running local AI agents with the machine. John Ternus is looking to get the company to run faster & leaner. And AT&T may not support Apple's new iPhone Handoff feature? M5 Ultra Mac Studio Review: The dream Mac for local AI agents. Apple's new CEO seeks to make company run faster and leaner. AT&T seemingly has no plans to support Apple's new iPhone Handoff feature. iPhone 18 Pro Face ID rebooting bug to be fixed in iOS update. Meta announces VR headset for $1299. Picks of the Week Federico's Picks: Open Minis, Cadu Bot, and Comet KVM Andy's Pick: Keychron K3 v2 Christina's Picks: Xounds Redux & FruitMenu Redux Hosts: Leo Laporte, Andy Ihnatko, and Christina Warren Guest: Federico Viticci Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: PaloAltoNetworks.com/Idira coveron.com/macbreakweekly and use code macbreakweekly cachefly.com/twit

NFL Week 4 picks and best bets with Kelly Stewart, Marco D'Angelo and Gianni the Greek!

College Football Week 5 picks, best bets, underdogs and betting analysis with Kelly Stewart, Marco D'Angelo and Gianni the Greek!

Federico Viticci of MacStories joins the show this week! Federico shares his experience using Apple's new M5 Ultra Mac Studio & running local AI agents with the machine. John Ternus is looking to get the company to run faster & leaner. And AT&T may not support Apple's new iPhone Handoff feature? M5 Ultra Mac Studio Review: The dream Mac for local AI agents. Apple's new CEO seeks to make company run faster and leaner. AT&T seemingly has no plans to support Apple's new iPhone Handoff feature. iPhone 18 Pro Face ID rebooting bug to be fixed in iOS update. Meta announces VR headset for $1299. Picks of the Week Federico's Picks: Open Minis, Cadu Bot, and Comet KVM Andy's Pick: Keychron K3 v2 Christina's Picks: Xounds Redux & FruitMenu Redux Hosts: Leo Laporte, Andy Ihnatko, and Christina Warren Guest: Federico Viticci Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: PaloAltoNetworks.com/Idira coveron.com/macbreakweekly and use code macbreakweekly cachefly.com/twit

Meta Connect 2026 happened this week, and Mark Zuckerberg showed off some new hardware that looks pretty good, including new VR glasses and a Tamagotchi-style device, Muse Charm. They emphasized how great Muse is and how it will make you money. Plus plenty of other tech to discuss. Watch on YouTube! - Notnerd.com and Notpicks.com INTRO (00:00) MAIN TOPIC: Meta's all in on hardware now (02:25) Everything announced at Meta Connect 2026 Microsoft unveils new Surface Pro 12-inch and Surface Laptop 13-inch with Snapdragon X2 Plus, brighter screens, and 5G options (18:35) Snap tries to sell consumers on the idea of $2195 smart glasses (20:05) DAVE'S PRO-TIP OF THE WEEK: Apple Music in iOS 27 Now Playing screen can now rotate to landscape mode and Friends Playlist (25:25) JUST THE HEADLINES: (33:40) People training OpenAI's AI fired for using AI to train the AI Samsung's AI fridges shut down after update, causes outrage Lego's biggest set ever is coming out soon: the 12,060-piece Sagrada Família. $800 New tin-based solar cells trap heat 1000 times longer, could beat 33% limit Data center developer offers $10,000 checks to nearby households Gene-edited bananas that don't go brown could hit UK supermarkets Astronomers just named an asteroid after 'Weird Al' Yankovic WITHIN REACH! Dave is leading 14-11, Round 27, Nate goes first (38:10) TAKES: Prepare your iPhone 18 Pro Max to ship (44:25) BONUS ODD TAKE: Apple in Colour (47:00) PICKS OF THE WEEK:  Dave:  SMALLRIG Auto-Deploy Mini Tripod for DJI Pocket 4P/4/3, for Insta360 Luna (52:50) Nate: Amazon Basics 5-Blade MotionSphere Men's Razor with Dual Lubrication, Vitamin E, Precision Trimmer, 1 Handle & 16 Cartridges, Black (56:40)

Sherwood and Homeland star David Harewood talks to us about his lead role in Channel 4's new legal drama Pierre, which is co-written by John Donnelly and playwright Roy Wiliams. Actor Simon Russell Beale discusses playing Liberace on stage in I'll Be Seeing You, the new play from Martin Sherman (who wrote Bent and Mrs Henderson Presents), a sparkling fantasia which follows a young writer struggling to create a play about the flamboyant superstar with a carefully constructed public image, who was awarded £8,000 in damages after an article strongly hinted he was a homosexual. The production - directed by Alan Cumming and Ben Occhipinti - is at Pitlochry Festival Theatre until 11 October. An avatar of acclaimed Chinese-American pianist Yuja Wang is performing at the Southbank Centre in London between now and January with audience members donning a VR headset and wandering around the stage to observe her at close range. The Guardian's critic Erica Jeal, who described the performance as "like Disney's Fantasia on steroids" tells us more about the experience. And we discuss the rise of the cultural logging platform - such as Letterboxd and Storygraph - which help us curate what the films we watch and the books we read and which help us share recommendations with each other. And Bill Buckley pays tribute to broadcaster and campaigner Dame Esther Rantzen, his colleague on the much-loved TV show That's Life!, who has died at the age of 86. Presenter: Kirsty Wark Producer: Mark Crossan

What happens when a successful employer partnership becomes the start of something much bigger? In this episode of Manager Minute, Carol Pankow talks with Paul DiBello, Director of Business Services at Missouri Vocational Rehabilitation, about Missouri's Nexus network. What began with one collaborative group has grown to approximately 18 groups connecting VR, workforce and community partners, and businesses across the state. Paul shares how regular meetings, employer involvement, "Nexus Mission Moments," and a one-team approach have helped sustain the work—and why employers who experience success often become VR's most powerful ambassadors. During National Disability Employment Awareness Month, this episode celebrates the partnerships and practices that create meaningful employment opportunities and keep opening doors for people with disabilities. Listen Here Full Transcript {Music} Paul: The Nexus, it's really a collaboration of community partners and local businesses. We started, like I said, with one, and I think we're up to 18 different groups now. Once you have that one success story with a candidate and business, it can really snowball into that business sharing nexus with other businesses. We've seen that where they call their friends at other businesses and say, hey, you've got to check this out. These folks have a talented pool of candidates or you can learn about resources. I have to say, word of mouth is still a great marketing tool in this business. Carol: That's good stuff. Intro voice: Manager minute, brought to you by the Vocational Rehabilitation Technical Assistance Center. Conversations powered by VR. One manager at a time, one minute at a time. Here is your host, Carol Pankow. Carol: Well, welcome to the Manager Minute. Joining me in the studio today is Paul DiBello, Director of Business Services at Missouri Vocational Rehabilitation. How are things going in Missouri, Paul? Paul: Things are going great, Carol. Thanks for asking. Carol: Awesome. Good to have you. Well, October is National Disability Employment Awareness Month, and this conversation offers a wonderful opportunity to recognize not only the contributions of workers with disabilities, but also the partnerships and practices that help create meaningful employment opportunities. And what makes today's story really interesting is that it began nearly a decade ago, back in 2017. Missouri VR shared with our old WINTAC grant how the agency was collaborating with workforce partners and employers to strengthen business engagement across the state. And so nine years later, my colleague Doug Keast circled back to see what happened, and he freaked out. He's like, Carol, you have got to call Paul. He's got to be on a podcast. And Doug had found that it wasn't simply that the work had continued, but it had expanded, it matured. It was even more deeply embedded in your system. And so today, Paul is joining to talk about how that collaboration grew and what helped to sustain it, and what the rest of you listeners can learn from this. So let's dig in. So, Paul, can you tell our listeners a little bit about yourself and how you came into the VR world? Paul: Sure. It's kind of a little bit of a curvy road for me, to be honest. My undergrad degree was in music education, and actually I was a high school band director for a couple of years, then followed my new wife out to Virginia. She got a job in her field, and we lived out there for a while, and I somehow got into accounting. So I went back to   school and got an accounting degree and worked for a couple of fortune 500 companies out there over the course of about eight years, and then three kids and a dog and a cat later, we decided we lived too far from family. So we moved back to Missouri, closer to family and I ended up getting a job with the job center, actually with our WIOA title one Youth folks. So I started there and really fell in love with the work. I started there as a Youth Job developer in the Job Center, and then later became an assistant Youth Program Coordinator for all of our youth services within the 19 counties in central Missouri, under the Workforce Board there. And it was kind of it was at that time that I really started to get to know a little bit about VR services. I have to give a shout out to my good friend and Missouri VR coordinator programs doctor Elizabeth Perkins. I partnered with her back then. She was actually a VR counselor, and she would come into the job centers and work a day or two there, take customers there. So we got to know each other real well. I learned more about VR. We started to partner on some things and it really opened, kind of opened my eyes to how awesome VR is. I'm just going to say it's different and I love all of our Workforce partners, but there's something special about VR counselors. So anyway, kind of fell in love with it then, but again, kind of a curvy path. My next stop, I worked as an EO officer for the central region. So I actually worked directly for the workforce board. And there I got to work on our state's non-discrimination plan and got to do some disability projects and stuff with partners. So a little bit closer to VR there. And then I was recruited as a actually a statewide job center provider for one of our WIOA program providers who also was a community rehabilitation provider. So even a little closer to VR, because I got to work on some contract management, and I was actually the assistant director of workforce programs for that company. So got to see both sides, the job center side and the CRP side. And then finally, in July of 2019, there was a VR job became open. And Elizabeth kind of encouraged me to apply for it. It was actually in procurement. So I started, then got to move into some case management stuff and then round about all the way back to business services where I started with WIOA. So that's where I am now. Carol: Holy smokes, you did take a long and winding road with a stop off with an accounting degree. Like where did that come out of the blue? Paul: Really weird. Carol: I love it. We're gonna have to bring you over to our fiscal management community of practice. Paul: Ok, that sounds fun. Carol: Yeah. You're like, no, I got out of that. I don't want to do that. That's awesome. So I know you weren't in Missouri in 2017, actually at the VR agency, but you were doing things out and about. So what was Missouri trying to accomplish back then? If you could like, put on that view from way back through that collaborative business engagement? Paul: Yeah. And I do remember even I wasn't with VR. I do remember how things were starting to come together back then. It was really just building partnership with WIOA partners. And it was through the development of a really a state level workforce system business committee, I guess you would call it didn't really have a formal name back then, but VR helped kind of host events with WIOA partners. And that's also where I got to know VR a little better, too, through some of that, to survey businesses together kind of as a team. And this eventually developed one of the very first lasting collaborative business and community engagement Nexus groups. And I think we're going to talk about Nexus here soon, but that was in the Kansas City area, and it consisted of monthly meetings that kind of brought community partners together with businesses to expand employment opportunities. And this would be for individuals with any barriers to employment. So it wasn't just focused on disabilities, but that was part of it. It was a great way to get all that collaboration with all of our state agency and partners. And then we really realized like, just so, you know, like the word nexus, we realized we wanted a system that was defined really by the very definition of the word nexus. And according to Merriam-Webster, nexus is a connection link or tie between people or things. It can also mean a central hub, or the core place where multiple parts of a system meet and come together. So that's really what we wanted for our state workforce system, just to have some really solid partnerships and where we were working together as a team. So that's kind of what was going on then. Carol: I love that. So nine years later, you look at, okay, what's changed the most for you guys? Paul: I would have to say, first of all, for VR, we've expanded our business team from, I think it was about three members. I'm not I wasn't there yet, but we have expanded to seven, which is huge for us. It gives us the ability to really get out across every region of the state and our VR business services team. It's really gained more clarity in our responsibility in terms of providing that menu of individualized and relevant services to meet those dual customer needs. So in essence, I think above all else, we've focused on being strategic connectors between VR, the workforce system, businesses, and then ultimately our dual customer, our clients as well. Carol: I know talking to Doug, he said, in talking to other people, like you guys have been able to sustain and move this stuff along. Like you not only started it, but you've made this even better. That is not the case everywhere there have been starts and stops, and it almost seems like with WIOA, you know, people went in great gangbusters and then it kind of petered out in some places. But you've been able to really sustain and strengthen the work over time. What helped you guys to be able to do that? Paul: Some of it was, I guess, probably trial and error, but definitely just continued development and expansion of these partnerships. Our blind agency Rehabilitation services for the blind. Our sister agency was a huge part of that too. And then really just working with the local Workforce boards and the Job Center staff, I know that it helps, you know, with our infrastructure agreements with the Workforce boards and making sure that because, you know, I don't always think of Missouri as I know some states are more of a one stop where people are actually under the same roof. We are not that, but we really do try to partner very closely. And those infrastructure agreements with Workforce really helped make sure there was a place for our counselors and our business folks to be under the same roof some days of the week and things like that. So I think that helped strengthen just partnerships in general. And then our employment Nexus groups, as they started to grow, just played a huge role in maintaining the partnerships. In a way, having these regularly monthly collaboration meetings have kind of built a mechanism for continued contact and communication. So I don't want to say it's forced, but it's there every month. Like we have these meetings every month and we're going to see these folks. And so we might as well work together. And it's just taken off in a really good way. Carol: Well, since you keep bringing up Nexus, we might as well talk about that next. Paul: Okay. Carol: How does that Nexus model really work at the local level? Paul: Nexus, it's really a collaboration of community partners and local businesses. We started, like I said, with one, and I think we're up to 18 different groups now. So we are very close to having all 114 counties in Missouri covered by at least one Nexus group, which I think is outstanding. And that's been our goal for the last few years to just really expand it and give opportunities for everyone in every county. Basically, there's a statewide planning committee, which is basically all of the local Nexus group planning committees, and we have a quarterly call and meeting. But as far as the local meetings go, there's a small planning committee and then there's a monthly meeting schedule and it's always it's the same time, same day every month. A typical agenda. It's open to all. We really try to invite an employer or a partner to do somewhat of a formal presentation, you know, on what they have to offer. And then there's usually an open forum where people can ask questions, and then we invite as many businesses as we can to join as well. And then there'll be time for networking and also time for those businesses to report out and tell us what they need. What are they seeing on the ground? What kind of candidates are they looking for? What kind of problems are they having that we might be able to solve? And then a real big part of those meetings are what we call Nexus Mission Moments. We actually establish a time toward the end of the meeting where people can kind of report out, like how Nexus has helped them. And it could just be a connection, it could be a connection to a candidate or maybe an existing employer with its existing employees that found out about a program that can help their employees. And those are the best. Because when you have a new partner or a new employer on the call or in the room, they hear that. And then it's kind of like, okay, what's in it for me? Well, that might be in it for me. So all of those things together have really that makes up what a Nexus meeting is. And we've just been able to, to keep the movement going. And every month we do them. So it's good. Carol: Well, I'm sure that your states, like other states where you have different sectors and different regions, like every state is different. You know, you have different parts that maybe there's more manufacturing or you might have more other kind of agricultural industry or whatever's going on depending on the quadrant of the state. And so I'm just thinking about those employer needs that are in those different areas. How do those employers in those specific regions really help shape the work of the Nexus team? Are they intricately involved? I know you've alluded to some of this, but is there something really direct that they do? Paul: Yeah. well, I can say in a few of our groups They are on the planning committees, which is great. Mercy Health and Saint Louis is a huge partner with VR and they're a great inclusive hiring partner. But yeah, they're actually on the planning committees and bring other employers with them. So that's good. And then as far as the regions, yeah, sometimes we can specialize a little bit if we're in a more rural area or an area where there's a lot of manufacturing, then we're going to be able to bring those employers into the fold and show them that, you know, we do have a talented pool of candidates that can help them. Yeah. Carol: I like it, I like it. So how is this collaboration expanded opportunities for people with disabilities? Paul: Well, I think it's created great partnerships with employers first of all. And we at VR, we might have otherwise overlooked some of those employers, to be honest, that show up for these meetings. We also at the same time, we're connecting our agency to other area partners that have complementary services, which can also help our clients. We've been able to set up company tours for entire Nexus groups, which has been awesome. You know, a company will actually invite the whole Nexus group to. Maybe we might even meet on their campus, get a tour. Learn more about a business. That way we can come back to our vocational rehabilitation counselors and clients and tell them about that. And then in some cases, we've learned about like new resources available by some local area community agencies, like community action agencies and things like that that can directly also help our clients. Nexus groups, they've partnered together to hold reverse job fairs and other events. So that's becoming a kind of a big thing. And we call them talent showcases in Missouri. But probably most importantly, I think VR has had the opportunity to educate our partners and employers just on the advantages of hiring from a talent pool of qualified individuals with disabilities. It's just a bigger audience. So it's been great. Carol: So what kind of results or changes tell you that this approach is working for you. Paul: I think anecdotally, repeat business customers as well as new business customers in attendance at our Nexus meetings in general, to me, is a huge indicator that we've made progress with relationships and partnerships. The ability to have a single point of contact within Nexus also is really big. If that works best for an employer and they've requested that we can do that within a Nexus group itself, so business can come to a Nexus meeting and basically learn all the ways our wioa partners can serve them, you know, at one meeting sometimes. Most importantly, I think we've gained access to businesses that we know are interested in our candidate pools because they return. And I can say beyond anecdotally, our employer services have increased, you know, that we would record as a direct result of attending Nexus groups and making these newfound partnerships. And I can also say, once you have that one success story with a candidate and business, it can really snowball into that business sharing nexus with other businesses. We've seen that where they call their friends at other businesses and say, hey, you've got to check this out. These folks have a talented pool of candidates, or you can learn about resources, all the things. So I have to say, word of mouth is still a great marketing tool in this business. Carol: That's good stuff. So what advice would you give another VR agency that would like to build this kind of network? I know folks have struggled like there's been this starts and stops or they're all in and then it all like kind of peters out. What advice do you have for folks? Paul: I think really building a solid foundation with your community partners and other agencies is paramount. If you start a group like Nexus or that kind of a working group with some of our Nexus groups, we had more than one initial planning meeting for networking and just to really get to know our agency partners and how they serve customers and just really get to know each other intimately before we even invite businesses to the meetings. I just think it really helps to start with like a genuine partnership where you leave like any territorial issues at the door, so to speak, and just present the group as a united team that's just simply there to serve the needs of employers without worrying about who gets the credit. It just needs it really needs to be a one team approach. And that's what's I think worked for us and kept employers coming back. I think they do recognize that. Carol: I like it. Well, and it feels like to Missouri's Workforce system is really cohesive, you know, and I'm sure looking at the role that you all are playing as part of that big network. What do you think that looks like today, maybe compared to before? Like, as you've grown this over the years, that leadership role that Missouri's taken in the Workforce system? Paul: Hmm. I think, uh, are you saying Missouri or VR? Carol: I'm talking about Missouri VR within the bigger Workforce system. Because I know you all seem to drive a lot of things that are going on down there. Paul: Yeah, I think just the growth of our Nexus groups in particular, VR can take some credit for that, for sure. And that was part of that was expanding our business services team. But we've really, really made that a priority for ourselves and our partners. Carol: And I'm sure Chris Claus, your director, who is like amazingly astute and thoughtful and loves partnering, has been a big champion for all the work that you're doing. Paul: He has been a huge champion for sure. Yeah, absolutely. Carol: Well, as we recognize National Disability Employment Awareness Month, what do you hope employers and workforce professionals take away from Missouri story? Paul: I will say for us, partnership has been just the key to success in Missouri. Don't take your WIOA and other community partners for granted. Together as a team, honestly, we've learned so much from each other and once our partners understand the way we can help our clients with disabilities and get to share in some of the successes, they really only want to contribute more. And I think that goes for our partners and our employer, partners and businesses. Carol: Good stuff. Paul, Missouri story reminds us that meaningful disability employment, it's not created through just one event, one program, or one agency working alone. It really grows through those relationships that are built locally, supported statewide and sustained over time. And you all have done a bang up job. I really appreciate having you on today. Thanks so much. Paul: Thank you. {Music} Outro Voice: Conversations powered by VR, one manager at a time. One minute at a time. Brought to you by the VRTAC. Catch all of our podcast episodes by subscribing on Apple Podcasts, Google Podcasts, or wherever you listen to podcasts. Thanks for listening.

Episode #152 | Brooke Einbender, Mindbender StudioA neighbor's hot pink door in Santa Fe, New Mexico, studded with tin milagros, was one of the first thresholds that shaped Brooke Einbender's path. Born in San Francisco and raised in Marin before moving across Santa Fe, North Carolina, and New York City, Einbender learned early on that changing environments can alter perspective. Working under the moniker Mindbender, her career spans oil painting, virtual reality, projection mapping, and public art installations—exploring physical and digital portals that invite viewers into multidimensional spaces.In this conversation, Einbender talks about expanding beyond the VR headset to projection-mapped mountainsides, transforming an Alaskan yurt into a creative sanctuary, and the logistics required to take six-foot interactive kaleidoscopes from her mind to the city streets.Website: mindbender-art.comInstagram: mindbender.art | mindbender.studio

Federico Viticci of MacStories joins the show this week! Federico shares his experience using Apple's new M5 Ultra Mac Studio & running local AI agents with the machine. John Ternus is looking to get the company to run faster & leaner. And AT&T may not support Apple's new iPhone Handoff feature? M5 Ultra Mac Studio Review: The dream Mac for local AI agents. Apple's new CEO seeks to make company run faster and leaner. AT&T seemingly has no plans to support Apple's new iPhone Handoff feature. iPhone 18 Pro Face ID rebooting bug to be fixed in iOS update. Meta announces VR headset for $1299. Picks of the Week Federico's Picks: Open Minis, Cadu Bot, and Comet KVM Andy's Pick: Keychron K3 v2 Christina's Picks: Xounds Redux & FruitMenu Redux Hosts: Leo Laporte, Andy Ihnatko, and Christina Warren Guest: Federico Viticci Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: PaloAltoNetworks.com/Idira coveron.com/macbreakweekly and use code macbreakweekly cachefly.com/twit

Federico Viticci of MacStories joins the show this week! Federico shares his experience using Apple's new M5 Ultra Mac Studio & running local AI agents with the machine. John Ternus is looking to get the company to run faster & leaner. And AT&T may not support Apple's new iPhone Handoff feature? M5 Ultra Mac Studio Review: The dream Mac for local AI agents. Apple's new CEO seeks to make company run faster and leaner. AT&T seemingly has no plans to support Apple's new iPhone Handoff feature. iPhone 18 Pro Face ID rebooting bug to be fixed in iOS update. Meta announces VR headset for $1299. Picks of the Week Federico's Picks: Open Minis, Cadu Bot, and Comet KVM Andy's Pick: Keychron K3 v2 Christina's Picks: Xounds Redux & FruitMenu Redux Hosts: Leo Laporte, Andy Ihnatko, and Christina Warren Guest: Federico Viticci Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: PaloAltoNetworks.com/Idira coveron.com/macbreakweekly and use code macbreakweekly cachefly.com/twit

This week we're chatting about the future of VR and whether we think Meta's new VR glasses will be able to win over a casual gaming audience, plus Xbox have announced some restructuring, Ben's played some Control Resonant and we're still deep into Fire Emblem: Fortune's Weave!Book your tickets for our live GTA 6 podcast in Melbourne: www.trybooking.com/DNUWGGet The Beard Hedger Plus for 15% OFF + Free Shipping with code “FILTHYCASUALS” at Manscaped.com!

Originally aired July 29, 2025 In this powerful follow-up episode, Lisa reunites with psychologist, author, and digital play therapy pioneer Dr. Jessica Stone to explore the ever-evolving intersection of technology, artificial intelligence, and mental health. Together, they dive into why the playroom must evolve—offering a grounded, nonjudgmental look at how digital tools and AI are showing up in children's lives and what that means for us as therapists.  Together they explore: Is digital play therapy the same as virtual play therapy?  How do you ethically use tools like ChatGPT, story generators, or VR in the therapeutic process?  And what deeper needs might children be trying to meet when they turn to technology? From theoretical foundations to real-life examples and practical strategies, Lisa and Dr. Stone address common clinician concerns—like fear of the unknown, resistance to change, or overwhelm—and reframe digital tools not as replacements for traditional play, but as powerful entry points for connection, healing, and expression. You'll hear honest reflections, tips for engaging tech-wary caregivers, and new ways to bring congruence and confidence to your practice—whether you're curious, cautious, or actively integrating technology into your sessions.

This is also the first time we've released a podcast in full video. So even if you're typically an audio podcast listener, we highly recommend you watch the full video on Youtube (click the link above). Let us know if you enjoyed our live show, and if you'd like to attend one in the future. "Don't override your players' experience with your version of the story." Emotional, hilarious, and... sexy?! Our very first REPOD Live Show was full of unexpected turns involving McDonald's drive thrus, a romance that blossomed amidst the most terrifying experience I've ever played, and some truly memorable moments. Oh, and it also had more references to sex than we've ever had on twelve seasons of this show. I guess that's what happens when you're recording live. We've been wanting to take Reality Escape Pod live for a long time. What better place to finally do it than at RECON, our own escape room convention? For this experiment, we needed the right guest. Gijs Geers of DarkPark Escape Rooms in the Netherlands was perfect for this live show. Gijs is an escape room creator, owner, and former magician who has experienced plenty of the industry's highs and lows. What I appreciated most, though, was how candid Gijs was willing to be. He wasn't banging the drum of his self-importance. He got real with us. At times, he even became emotional, particularly when talking about the excitement and anxiety the TERPECAs bring. It made for a surprisingly personal conversation, especially considering it was all happening live on the RECON stage.   Full Show Notes   Episode Sponsors We are immensely grateful to our sponsors this season: Buzzshot Bookings, Ubisoft VR Escape Games, Immersif, and Patreon supporters like you. We truly appreciate your support of our mission to promote and improve the immersive gaming community.   Buzzshot Buzzshot is proud to announce their new "all-in-one" Booking System designed from the ground up for one type of business, escape rooms. Offering: Easy to use booking UI with no fees or hidden charges. Customer waiver capture Branded Team Photos Player Messaging Review Managment Automations Customer Surveys Broadcast Emails Special Offer for REPOD Listeners: REPOD listeners get an extended 21-day free trial plus 20% off your first 3 months, with no set-up fees or hidden charges. FREE Trial Account with full features* including SMS messaging, and 'Buzzshot Bookings' trial upon request. Visit buzzshot.com/repod to learn more about this exclusive offer.   Ubisoft VR Escape Games Harness the power of VR Escape games to maximize your venue's potential. Deliver blockbuster adventures and impossible experiences, all brought to life in Ubisoft's most popular worlds, including Assassin's Creed, Prince of Persia, and more. Location based games optimized for entertainment venues Exclusively available only in escape room venues, VR arcades, and theme parks. Games can accommodate anywhere from 2-8 players No start up fees; you only pay when players play Special Offer for REPOD Listeners: REPOD listeners get an extended free trial for an entire month of royalty-free operation. To hear more and claim your free offer, send a message via their contact page and be sure to use our code REPODxUBI26. Enter the code into the "description" field on the contact form.   Immersif Business Consulting Are you looking to unlock more revenue and streamline efficiency? Sam Wai is helping creatives and suppliers in the immersive industry earn more with specialist accounting and mentorship. Offering: Business Mentoring and Consulting: Growth focused Strategic Planning Actionable Advice Performance Intelligence Reports: Analysis of your game booking performance Learn how to optimize your marketing Customize your business based on player habits and booking preferences Special Offer for REPOD Listeners: REPOD listeners get a free one hour Business Mentoring Call. This is a focused one-to-one session to help you work through a challenge, make a difficult decision or bring more structure to your next stage of growth. We'll explore what's holding the business back, weigh up your options, and agree on practical next steps. You'll leave with clearer thinking, renewed confidence and a written summary to keep you moving forward. Book through immersif.co/REPOD or email Sam hello@immersif.co and be sure to mention REPOD to claim your free business consultation.   Support Us On Patreon Today Love escape rooms as much as we do? At Room Escape Artist, we've been analyzing, reviewing, and exploring the world of immersive games since 2014. We help players find the best experiences, and push the industry forward with well-researched, rational, and reasonably humorous escape room and immersive gaming content and events. By becoming a Patreon supporter, you're not just backing a blog — you're fueling a mission to make the escape room and immersive gaming community stronger, more thoughtful, and more connected. Access exclusive Patreon content such as: The Bonus Aftershow The Spoilers Club Early access to escape room Tour tickets and REA articles. Your Patreon support goes toward our mission: paying our contributors, funding our infrastructure, and supporting deep research and industry advocacy.   Our Other Podcast PG's Playhouse If you love wordplay, puzzles, and trivia, this is the podcast for you! PG's Playhouse recreates a fun game night, all in a short, 30-minute format. Of course, what's game night without making new friends? We bring on different guests for the different episodes. Each episode features a puzzle packed with wordplay and trivia, a short chat with the guest, and a segment exploring an interesting topic. I hope you'll take a listen and play along with us at PG's Playhouse.   Production Credits Hosted by David Spira & Peih-Gee Law Produced by Theresa Piazza & Sheena Vira Supported by Lisa Spira Edited by Steve Ewing Music by Ryan Elder Logo by Janine Pracht

Cloud device farms make it easy to get started with real device testing. But what happens when you need to scale? Costs climb fast, you wait in a queue for the devices you need, and you lose visibility into what's actually happening when a test fails. In this episode, Nick Metcalfe, Head of Technical Sales Engineering at Cambrionix, joins Joe to explain why more testing teams are bringing their device labs in house. Nick shares how one team was quoted roughly a million dollars a month to outsource their real device testing, then cut that cost to around $300K by building their own lab. And cost is only part of the story. You'll discover why an in house device lab can outperform a cloud lab: Lower cost at scale. Cloud pricing works for small test runs, but at enterprise scale an in house lab can save hundreds of thousands of dollars every month. No waiting in line. Your devices are yours, available whenever you need them, with no queue and faster turnaround. Full control and visibility. See exactly what's happening at the hardware level, down to the millisecond a USB controller reboots, so you can tell a real bug from an infrastructure failure. Test the devices your users actually have. Keep legacy phones, budget devices, and hand me downs in your lab, just like Snap does to support its user base across 12,000+ devices and 700,000 tests a day. Test custom hardware. Point of sale systems, VR headsets, smart devices, and prototypes that a cloud vendor simply won't have. Automate the hands on work. Reboot devices, recover from restore mode, and put 16 Apple devices into DFU mode at once, all through an API that plugs into your CI pipeline. Protect your device investment. Hold batteries at a set charge level to reduce wear and extend device life for years. Nick also covers the honest tradeoffs, including the setup and resources an in house lab requires, and why a hybrid approach of emulators first and real devices second gives you the most confidence before release. Plus, his number one tip for building a lab: do it once, do it right. If your team is scaling mobile test automation, fighting flaky tests, or questioning your cloud device farm bill, this episode is for you.

Send us Fan MailWe trade weekend stories that swing from head colds and work burnout to a birthday reset built on real downtime, small joys, and a little chaos. Then we shift into sports rapid fire before going deep on Brockmire Season 2 Episode 5 and the bigger question of whether Brockmire is capable of real change. • setting boundaries with work and protecting sanity • massage day, favorite food, and solo hiking as a reset • the trail “ghillie suit” moment and choosing not to investigate • adult arcade birthday vibes, VR games, and what makes a true adult spot • getting into vinyl records, record shops, and building a home setup • NFL and college football reactions, parity talk, and early-season caution • fantasy football app errors, bench points, and when to protest • Brockmire S2E5 breakdown, Jules' return, and mismatched life goals • New Orleans comfort versus chasing the major leagues dream • redemption arc debate and what we want Brockmire to become • week-to-week watching, binge culture, and why shows need endings Make sure you hit the subscribe button. Follow us on TikTok, on YouTube, Facebook, Instagram. We're all there, even on Twitter and in Blue Sky. Support the showMake sure to follow the Dad Hat Chronicles: https://linktr.ee/TheDadHatChronicles

Sarah Huckabee Sanders ran a reelection ad making a white dude named Brad on a beanbag with a VR headset the face of Arkansas welfare fraud. Young white men are among the least likely groups on SNAP. Per capita numbers tell a different story. They picked the one face guaranteed to piss off their own base instead of just putting the policy on screen. Friendly fire. Consultants who don't talk to actual people.  

**The Clay Edwards Show – Capitol Police Verdict, Sarah Huckabee's SNAP Ad, Kratom Fallout, and Mr. Belding** Hour 1 with Creston Berch and Zach Servis. Hour 2 with Scott Gilbert and Shaun Yurtkuran. Dennis Haskins — Mr. Belding — died at 75. That one landed different than it would have twenty years ago. Midlife talk, Motley Crüe tour shirts, Guns N' Roses opening, grandmother still hanging on at 94, and why 75 doesn't sound old once you've already blown past the halfway mark. Then the unforced error: Sarah Huckabee Sanders ran a reelection ad making a white dude named Brad on a beanbag with a VR headset the face of Arkansas welfare fraud. Young white men are among the *least* likely groups on SNAP. Per capita numbers tell a different story. They picked the one face guaranteed to piss off their own base instead of just putting the policy on screen. Friendly fire. Consultants who don't talk to actual people. Kratom is next. Two Ole Miss students dead after S-Max / pseudo-7OH tablets — concentrated, lab-tweaked alkaloids, not leaf powder. Clay's been on the “don't ban it, regulate it” side for years. He's sitting this one out. If gas-station product is killing kids, conscience matters more than the fight. Doctors and lawmakers are already lining up the next ban. Listen to why the “natural doesn't mean safe” line is the one that actually matters. Hour 2: Scott Gilbert (Michael Reinwald's attorney) and Shaun Yurtkuran break down yesterday's Capitol Police trial in the Jalen Lewis shooting. Steven Frederick — not guilty. Reinwald — hung jury. Lynn Fitch immediately declined to retry. The state's theory was imperfect self-defense manslaughter plus “acting in concert.” A car coming at you is a weapon. Unmarked vehicles don't make officers the aggressors. The jury was never instructed to view it through the eyes of a trained cop. That's the charge that never should have been brought. Chilling effect is real. Departments already can't hire. Good cops watch this and ask if the job is still worth it. Discretion exists so prosecutors *don't* file the weak ones. This was one of the weak ones. Zach Servis closes it as a Jackson resident living on the edge of the CCID: response times, a gunshot next to his wife, and the same AG office that went after these two officers while $77 million in SNAP fraud sat there. No sugar. No “positive solutions” lecture. Just what happened and why it matters. Guests: Creston Berch, Zach Servis, Scott Gilbert, Shaun Yurtkuran.

Ep 151: I Make Films for Black People and Everybody Can Watch with Barbara AllenTwo little girls saw a movie camera in a mail order catalog and spent a whole week on the phone building a case to bring to their parents. They both got a yes. Fifty some years later, one of them is a filmmaker and the other one is her writer.This week I'm talking with documentary filmmaker Barbara Allen, the person behind Paper Trail: 100 Years of the Chicago Defender, DuSable to Obama: Chicago's Black Metropolis, Colorblind: Rethinking Race, and House Music: A Cultural Revolution. Recorded live at Lumpen Radio, no edits, no retakes.What We Talk AboutHow an 8 year old talks her mother into a movie camera, and how that kid and her best friend ended up in an editing room together twenty years laterWhy the Vivian Harsh Collection at Woodson Library is the place to go for Black Chicago history, and what's in there that the big museums don't haveThe Black pilots of 1930s Chicago: Cornelius Coffey, Willa Brown, and the man they called the one man Ethiopian Air ForceWhy she deliberately cast white male experts in a documentary about racism, and why it workedTime travel, virtual reality, and putting a viewer on a rooftop during Hurricane KatrinaWhere she lands on AI, and the dark comedy about AI she's making right nowThe one thing she wishes more interviewers would doIf you love Chicago history, oral archives, or anybody who has been following their curiosity since childhood, this episode is for you.All about Barbara AllenYou're gonna love Barbara. She's a straight up walking archive with a great sense of humor about it. She's a producer, director, editor, engineer, and journalist who has spent decades telling stories about Black history, culture, and Chicago. Her documentaries include Paper Trail: 100 Years of the Chicago Defender, DuSable to Obama: Chicago's Black Metropolis, Colorblind: Rethinking Race, and House Music: A Cultural Revolution. She was a Knight Fellow at Stanford in 2013, where she built one of the first immersive VR journalism pieces, a Hurricane Katrina rooftop story narrated by Harry Lennix. She's currently raising funds for Realignment, a dark comedy about AI that is a pilot for a series.Chapters:00:22 - Settle In — Live, Unedited Conversation on Nosy AF02:15 - Origins: Making Films at Eight06:14 - Wearing Many Hats: Learning Every Side of Filmmaking14:27 - Film timeline — Paper Trail and other works20:50 - Social Media as Archive: Self‑Documenting and the Future of Storytelling31:51 - Show Return — Barbara Allen: A Walking Archive34:43 - AI, Authenticity, and Immersive Storytelling42:01 - AI and Storytelling: When Technology Becomes the Story49:16 - Lessons Learned Behind the Camera52:45 - Advice for the Next Generation — Passion vs. Fame59:43 - Episode Closing — Thanks & CreditsThings We MentionedPaper Trail: 100 Years of the Chicago DefenderDuSable to Obama: Chicago's Black MetropolisColorblind: Rethinking RaceHouse Music: A Cultural RevolutionRealignment, her AI dark comedy in development, fiscally sponsored and currently fundraisingThe Vivian G. Harsh Research Collection at the Carter G. Woodson Regional LibraryMichael Flug, archivistTimuel Black, Chicago historianDr. Daniel Hale Williams and Provident HospitalCornelius Coffey, John Robinson, Willa Brown, and Bessie ColemanSusan Cayton Woodson and her grandfather Hiram Revels, the first Black U.S. senatorThe Chicago Defender's WWII Victory Edition and the Double V campaignGail Baker, her writer since they were 8Tim Wise and the Brandeis researcher who coined "the Black tax"Jeremy Bailenson and Nonny de la PeñaHarry LennixDonald Crossley of the House Music documentaryFelicia Kreger, who made the introductionRecent screening of DuSable to Obama at the Chicago Cultural Center with DCASEConnect with Barbara AllenBarbara's Production Company “Middle Passage Productions”House Music: A Cultural Revolution is on the WTTW YouTube channelSponsor Shoutout

Listen Now to Greg & Richard Watch the Show Play a Clip from the Show Playlist This week we take you on a glorious, high-voltage trip through our very own  multiverse ! Enjoy the whole show, or pick a clip from this episode’s playlist. We sit down with long-time cyber-pioneers Greg Panos and Richard Cray to reminisce about the wild, wild west of early multimedia.. Not just 8mm, we’re talking ancient Waldo facial motion capture contraptions glued onto your cheeks like mechanical leeches to drive giant Silicon Graphics workstations, and crashing a surreal 1993 SIGGRAPH party at the Nixon Museum and Birthplace, sponsored by Lucasfilm and Industrial Light and Magic! It’s a hyper-energetic reunion tracing the hysterical evolution from retro online virtual reality worlds like The Palace and Active Worlds right up to today’s bleeding-edge world-crafting tools, such as Genie, whole 3D  world building, built from  simply prompts.. And hold onto your earbuds, because we now jump straight into full-blown sci-fi reality overdrive! Greg demonstrates real-time face-swapping with AI tools like Decart Lucy 2.5, instantly turning a regular webcam into a Hollywood VFX studio where you can magically transform yourself into Albert Einstein with rubber duckies in a bathtub! Gregory is happy to demo this to us in realtime on the show, clearly showing some serious ‘writing on the wall’ when it comes to the future of online interactions! We next zoom through an immersive VR theater,  LA’s new futuristic DataLand museum, complete with biometric wristbands and scent collars, allowing you to smell the anura of the wild Amazon..  Greg shares his  dream of building digital twin avatars so your stories can live on for your great-great-grand-nieces! Between jokes about robot girlfriends, multiverse quantum doorways, and doing jigsaw puzzles to reclaim human sanity, it’s a funny, brilliant reminder that even with super-intelligent machines, soulful human  connections are the gold standard for accepting any future world that may come our way.  Enjoy!  

In hour 1 of The Mark Reardon Show, Mark is joined by radio listeners for an open-line discussion on the current political landscape, inflation, foreign policy, and consumer concerns heading into the midterm elections. Callers weigh in on gas prices, national security strategy, and how economic factors are influencing voter sentiment across the country. In hour 2, Sue hosts, "Sue's News" where she discusses the latest trending entertainment news, this day in history, the random fact of the day and more. Mark is later joined by Chris Clem, retired Chief Border Patrol Agent for the Yuma sector, to discuss a migrant caravan traveling through Mexico toward the U.S. border. Clem shares his analysis on the Trump administration's border enforcement policies, Democratic immigration proposals, and the operational realities along the southern border. In hour 3, Mark is joined by rock icon Ted Nugent, "The Motor City Madman," to discuss the current state of the country, high-profile Senate races in Texas and Michigan, and his passion for hunting and outdoor conservation. Nugent also reflects on his musical influences, shares updates on his recent conservation initiatives, and highlights the healing power of the wilderness. Mark is later joined by George Rosenthal, co-owner of ThrottleNet, for Tech Talk Tuesday to discuss major developments in technology. Rosenthal analyzes the unveiling of America.gov, an AI-powered government website built with Google Gemini and Grok, breaks down the "Salt Typhoon" telecom wiretap hack, and reviews Meta's "Muse" AI and new VR glasses. He wraps up the show with the Audio Cut of the Day.

In hour 3, Mark is joined by rock icon Ted Nugent, "The Motor City Madman," to discuss the current state of the country, high-profile Senate races in Texas and Michigan, and his passion for hunting and outdoor conservation. Nugent also reflects on his musical influences, shares updates on his recent conservation initiatives, and highlights the healing power of the wilderness. Mark is later joined by George Rosenthal, co-owner of ThrottleNet, for Tech Talk Tuesday to discuss major developments in technology. Rosenthal analyzes the unveiling of America.gov, an AI-powered government website built with Google Gemini and Grok, breaks down the "Salt Typhoon" telecom wiretap hack, and reviews Meta's "Muse" AI and new VR glasses. He wraps up the show with the Audio Cut of the Day.

Mark is joined by George Rosenthal, co-owner of ThrottleNet, for Tech Talk Tuesday to discuss major developments in technology. Rosenthal analyzes the unveiling of America.gov, an AI-powered government website built with Google Gemini and Grok, breaks down the "Salt Typhoon" telecom wiretap hack, and reviews Meta's "Muse" AI and new VR glasses.

RADIO PIRATE FREE édition du 29 septembre 2026 avec ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jeff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fillion⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ et sa gang! ________________________________________ 0min00 - ⁠⁠⁠⁠Jeff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ fait le tour des nouvelles qui ont marqué les dernières heures. (Partie 1) ________________________________________ 14min53 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jeff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ fait le tour des nouvelles qui ont marqué les dernières heures. (Partie 2) _______________________________________ 33min42 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Les cuts audio les plus particulières des derniers jours choisies par ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MisterWhite⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ présentées⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ à ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jeff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ et ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gerry⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ et aux Pirates avec en prime, les #GerryHorsContexte. _______________________________________ 50min23 - ⁠⁠Gerry⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ boursicote en nous racontant toute sorte d'histoires reliées à une panoplie de sujets reliés à la bourse.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠________________________________________ Substack du Gerry ici https://gerrypizza.substack.com/ ⁠________________________________________ Le Boursicotage avec Gerry est une présentation du Groupe VR 185, le concessionnaire de VR complice de vos vacances depuis plus de 30 ans. https://groupevr185.com/ _______________________________________ Pour plus de 3h30 de contenu PRIME de RADIOPIRATE par jour, abonnez-vous ici https://radiopirateprime.supercast.com/ _______________________________________ Learn more about your ad choices. Visit megaphone.fm/adchoices

Jeff and Christian welcome Eric Warner from Mature Minded Gamers back to the show this week to discuss the state of the board game industry, Xbox wrecking havok with their game studios, and Meta's newest, light-weight VR glasses.The Playlist:Eric: Wardogs, Wild West Pioneers, Farhaven, Asheron's CallChristian: Control Resonant Jeff: Shroom and GloomTabletop Time:Gencon 2026 must-plays!Parting Gifts!!PLUS: BONUS CONTENT - Geforce Evengelist Jacob Freeman returns to the show to discuss the DLSS 4.5 features that make Control Resonant so visually impressive

This episode was filmed at Moonshots Live 2026. Learn more at https://moonshots.com/ The mates sit down with Palmer Luckey on Moonshots Live to discuss autonomous weapons, AI risk, Anduril's approach to humanoids, the real threats posed by AI, VR's peak, and what's next for the future of technology. Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Salim Ismail is the founder of Open ExO, a GP at Exponential Venture Capital/The Organizational Singularity Fund and a sought after global speaker and thought leader. Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified Palmer Luckey is the founder of Oculus VR and defense technology company Anduril Industries, known for helping pioneer modern virtual reality and later building AI-powered defense systems. – This event is presented with: Google — https://www.google.com/ Circle — https://www.circle.com/ Future Vision XPRIZE Partners: Salesforce — https://www.salesforce.com/ ARK Invest — https://www.ark-invest.com/ Xsolla — https://xsolla.com/ Range — https://www.rangemp.com/ Build with Gemini XPRIZE Partner: Google — https://www.google.com/ _ Connect with Peter: X Instagram Substack Website Xprize A360 Connect with Dave: Web X LinkedIn Instagram TikTok Connect with Salim: LinkedIn X Join Salim's 10X Shift Subscribe to Salim's YouTube channel Exponential Venture Capital Connect with Alex Website LinkedIn X Email Substack  Spotify Threads Connect with Palmer:  Website X LinkedIn Listen to MOONSHOTS: Apple YouTube Follow MOONSHOTS:  Instagram TikTok X Threads – *Recorded on September 25th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Most creatives are terrified of AI. And honestly? That terror makes sense. Sameness. Replacement. Theft. Those three fears have colonized the creative internet. And they're not entirely wrong. Bad AI use produces a gray paste of mediocrity. It steamrolls voice. It scrapes without permission. But here's what I've come to believe after years of building the Story Cycle System™ and developing what I call Artful Intelligence™: The fear isn't about AI itself. It's about how most people are using it. Like a vending machine. Like a ghostwriter. Like a replacement for thinking. That's not intelligence. Artificial or otherwise. The creatives who are thriving right now aren't using AI instead of their genius. They're encoding their genius into AI and firing it at scale. There's a difference so profound it changes everything. You've spent years building deep expertise. You have frameworks. Hard-won instincts. A distinctive voice that took real living to develop. You want to scale your creative output without losing what makes it yours. But AI feels like a trap. The outputs look generic. You're afraid that leaning in means becoming a content machine producing work even you won't recognize as your own. There's a third path. One that treats AI not as a replacement or a crutch — but as your 100x creative amplifier. I know this because our son Parker Howell has been living it. Parker is the founder of Howell XR — XR filmmaker, VR game developer, fire dancer, jiu-jitsu practitioner, Reiki healer, hospice volunteer. In the last 18 months he: → Built Monkey Tower VR in 9 months with 2 people → Won $50,000 in a Meta hackathon in 30 days → Built the Tunorama AI photo booth in 48 hours for $40 → Took SkateBoss from concept to prototype in 24 hours That's not hype. That's what happens when someone stops treating AI as a productivity hack and starts treating it as an extension of their own creative intelligence. Parker said something I keep coming back to: "It's your editor, packed with all of your genius, that can fire a billion times a second." Not a generic editor. Not someone else's genius. Yours. Your patterns. Your frameworks. Your voice. Your decade of taste — baked into a system that never sleeps and never runs out of bandwidth. That's not sameness. That's a creative superpower only you can build. He also said something that stopped me cold: "I feel like I unwittingly have designed my entire career for this moment in time." A filmmaker who moved between disciplines without apology. A developer who didn't wait for permission to start building in VR. A creative who treated every seemingly unrelated skill as preparation for a future nobody had mapped yet. That's the Artful Intelligence mindset. And to anyone still sitting on the sidelines? Parker was direct: "Just go make some slop. Don't show it to anyone. But just play with it." No judgment. No stakes. Just play. Because the fear of producing slop is keeping more talented people from their own creative abundance than any shortcoming in the technology. The question isn't "will AI replace me?" It's "how do I encode what I know into something that compounds?" The creatives who answer that question — who train AI on their irreplaceable expertise — are building something that genuinely can't be commoditized. Because it's them. If you're a creative who wants to think bigger than you've ever thought, this episode is for you. If you're an expert who wants to encode your genius into something scalable, this episode is for you. If you've been afraid that embracing AI means losing yourself — this one is especially for you.

On this episode of the Ruff Talk VR podcast we are back talking all the latest VR news!0:00 - Episode Start0:50 - Meta VR Glasses21:35 - Dungeons Of Eternity Tomb Extraction Update26:30 - Beat Saber "Flux" Update34:55 - Hot Dogs, Horseshoes & Hand Grenades 2 Quest Launch Date38:00 - Two Point Hospital Mixed Reality Editon43:10 - Phoenix Wright Ace Attorney: Dual Destinies VR 46:30 - Tetris Effect: Mixed Realities 51:20 - Payday: Aces High October Playtest54:05 - Shil57:45 - Dice Throne Digital 1:00:00 - Meta $1mil Competition 1:05:35 - Dragon Grove 1:08:55 - GOLF+ Medinah Country Club No. 31:13:05 - Story Of Seasons - Your Wonderful Life I1:17:25 - Cardmada1:21:30 - Open Season1:25:05 - Just Hoops 2.0 Update1:28:08 - Supernatural Return1:30:55 - Star Wars: A New Hope in VRDiscord: https://discord.gg/9JTdCccucSPatreon: https://www.patreon.com/rufftalkvrIf you enjoy the podcast be sure to rate us 5 stars and subscribe! Join our official subreddit at https://www.reddit.com/r/RuffTalkVR/Support the show

NEWS - DAREDEVIL: BORN AGAIN canceled with season three - Final CLAYFACE trailer - Filoni confirms the Mortis gods in AHSOKA s02 - Disney Immersive Cinema by ILM; VR-enhanced versions of …A NEW HOPE and AVENGERS: INFINITY WAR for Meta VR glasses - Paramount–WBD merger clears its biggest hurdle - STAR WARS: THRAWN manga part one out September 29 - First look at Ian McKellen's Gandalf in THE HUNT FOR GOLLUM - RINGS OF POWER s03 premieres Nov 11 OGTW: - Becker: EXCALIBUR (1981) rewatch, THE PENDRAGON CYCLE: RISE OF THE MERLIN, GREEN LANTERN: FIRST LIGHT - Diaz: AFTER THE FALL (finished) by Edward Ashton, EXIT PARTY (finished) by Emily St. John Mandel, TED LASSO, STAR WARS: GALAXY'S EDGE MAIN TOPIC: On the cusp of their 300th episode the team pushed the final installment of their book club discussion of DUNGEON CRAWLER CARL and instead takes the time to talk about Michael's trip STAR WARS: GALAXY'S EDGE, what he thought about the attractions and experiences. From there, the team's focus is on LANTERNS e05-06 and how differs from the source material, but also, how that makes it better. What do you think? Let us know! Welcome to the Kybercast! #StarWarsGalaxysEdge #Lanterns #Clayface #Ahsoka #StarWars #StarWarsThrawn #LOTR #TheHuntForGollum #RingsOfPower #Excalibur #ThePendragonCycleRiseOfMerlin #GreenLanternFirstLight #AfterTheFall #ExitParty #GalaxysEdge #StarWarsGalaxysEdge #DareDevilBornAgain

Photo by Logan Voss on Unsplash Published 28 September 2026 e569 with Andy, Michael and Michael explore flight and world simulators, VR glasses that burn temples, sideburns, ice printing, a camera robot, audio optimized venues and a whole lot more! The Game at Work cohosts Andy, Michael and Michael are back together for a whirlwind review of the latest in technology.  They start off with a flight simulator, which is not from the perspective of a pilot – rather from the perspective of a passenger.  The familiar sights and sounds or jet travel can be yours from the browser-based InFlightSimulator.  Then, zooming out a bit, the cohosts consider God's Eye View, where the user can experience a photorealistic digital twin of the planet.  After briefly touching (down) on Geoscape, Andy has an opportunity to share the ASCII City experience.  This is not your 1980s ASCII art, rather a very Matrix-esque view of a city, with cars, pedestrians and buildings. Switching gears, the team takes a look at several VR stories, including the new VR glasses from Meta and the Inmo Air3.  The Inmo glasses have had a recall for overheating, which opened a etymology discussion on the origin of sideburns.  And an article from heise.de details challenges stemming from GDPR requirements.   In the last part of the episode, there are several cool stories.  One details how it is possible to 3D print ice by removing air.  Another is an interactive art exhibit.  A third is a kickstarter for flat dice.  After looking at Beni, a camera robot designed to follow or race ahead of you to film you, the team wraps up with the new Apple Music Hall venue in London, which looks to be a fantastic place to hear performances.  What city would you like to experience in ASCII?  Have your bots

¿Qué podría presentar Apple en octubre? En APPLEaks 240 ponemos el foco en los productos que vienen: iPad mini, un posible MacBook con pantalla táctil, la renovación del Apple TV 4K y el esperado HomePad. Repasamos los rumores y analizamos cuáles tienen sentido para el uso cotidiano.Además, hablamos de iPhone Duo 2 y Duo Max, iPhone Air 2, la posible pulsera de salud sin pantalla, el colgante de IA pospuesto y los AirPods con cámaras. También vemos el desafío de Meta para Vision Pro y la oportunidad que Google ve en los plegables.Los productos, nombres y fechas futuros se comentan como rumores y expectativas. Este episodio no presenta una confirmación oficial del evento ni de todos esos lanzamientos.¿Cuál te interesa más: iPad mini, MacBook táctil, Apple TV 4K o HomePad? Contame tu opinión en el video del episodio.

I give my big Dragon Con recap of the panels I hosted. While I didn't get to do much else, I did go into the arcade once and got to play some games. We also talk about why the biggest cosplay group was not from a movie or TV series, but from a book. The Steam Frame has finally gone on sale - for some buyers. A reservation system was used and sadly I did not win the lottery to give Valve my money, and probably won't for a year or so, as there is definitely not enough supply to meet demand, even with the price being higher than many people wanted to pay. Recompilations are becoming the new Generative AI battleground, as many people who did not want to take the time to learn how to develop software now use Generative AI tools to develop the software that they want - like making old games run on current hardware with different art and sounds. Some groups are fighting against this, and the Donkey Kong 64 Randomizer community is creating DK64 Recompiled without using GenAI. This leads to a discussion about GenAI usage in hobbyist development, as people who merely had ideas and dreams can now actually execute those ideas without dealing with knowledgeable people. We talk about one restoration team in Commodore 64 history now credits Claude with their project working at all, and they state that their restoration would not exist without GenAI - despite having an original developer from 1986 on the team. (He also uses Claude exclusively today.) We do touch on the doomerism of "AI will kill us all" (it won't) and that the majority is actually perfectly fine with Generative AI usage.

In this episode, the editors of the Journal of Autoethnography offer an inside look at the journal, discussing its origin and revisiting notable articles that have contributed to the practice of autoethnography.The Journal of Autoethnography is published four times a year by the University of California Press. For more information about the journal, including subscription and submission information, please visit here. If you are interested in supporting the work of UC Press and its Journals Program, please consider making a charitable donation to the UC Press Foundation.To learn more about the UC Press Foundation and how to contribute, please visit here.Articles mentioned:Matthew S. Johnston; Through Madness and Back Again: An Autoethnography of Psychosis. Journal of Autoethnography 11 May 2020; 1 (2): 137–155. doi: hereJessica Smartt Gullion; The Mayhill Project. Journal of Autoethnography 1 January 2025; 6 (1): 37–49. doi: hereElizabeth Stephens; Homicide by Police: Coping with Traumatic Death. Journal of Autoethnography 11 May 2020; 1 (2): 111–121. doi: hereAnonymous Author; Highlighting Numbers: Students Stalking Faculty and the Lasting Impacts of a Flawed System. Journal of Autoethnography 1 April 2021; 2 (2): 143–160. doi: hereArthur P. Bochner; Autoethnography as a Way of Life: Listening to Tinnitus Teach. Journal of Autoethnography 7 January 2020; 1 (1): 81–92. doi: hereCsaba Osvath; Writing With and Against the Machine: Autoethnographic Reflections on AI, VR, and Narrative Becoming. Journal of Autoethnography 1 July 2026; 7 (3): 346–358. doi: hereStephen King, On Writing: A Memoir on the Craft. 2000. Simon & Schuster.Goodall, H. Lloyd. A need to know: The clandestine history of a CIA family. Left Coast Press, 2006.Robin M. Boylorn, Sweetwater: Black Women and Narratives of Resilience (Revised Edition, 2017). Peter Lang.Ocean Vuong, On Earth We're Briefly Gorgeous. 2019, Penguin.Ellis, Carolyn. Revision: Autoethnographic reflections on life and work. 2019. Routledge.A complete list of University of California Press journals is available at UC Press JournalsTony Adams is Caterpillar Professor of Communication at Bradley University.Andrew F. Herrmann is CEO of Applicable Consulting LLC. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Meta's Muse AI agent is cute (sometimes caked-up) and it performs well as a productivity tool. And, if you give it access to your social media and e-mail, it can know basically everything about you. This week on The Vergecast, Nilay Patel, Jake Kastrenakes and David Imel give their reactions to Mark Zuckerberg's demos at Wednesday's Meta Connect keynote. They also talk about the new glasses hardware, including the new VR glasses and audio-only, camera-free Ray-Bans.Then, we take a look at the newly-announced, chimeric Chrome/Android hybrid Googlebooks, find out why Brendan Carr is a dummy this week, analyze the Paramount merger, discuss what YouTube's A/B video testing means for the increasingly tenuous concept of a shared reality, and end on a surprisingly heartwarming story about RODECaster 4K support. Further reading: Meta Connect 2026: The 7 biggest announcements Meta Connect 2026 live blog: On the ground at Mark Zuckerberg's next big product launch Meta's Muse AI works and creeps me out Amazon blocks Meta's Muse AI agent Meta ditches the camera on its newest smart glasses Meta's next VR device isn't a headset — it's glasses These are the first five Googlebook laptops Googlebooks feel like the first laptops built for Android owners I got to see Google's wild ideas about the future of laptops The long dream of the Googlebook Mahershala Ali On ‘Blade' Being A Big Failure For Kevin Feige: “100%. He Should Feel That Way” Paramount will need to release way more movies to make this merger work Xbox is barely Xbox anymore YouTube is cooking up new Live features. Free Rodecaster Video firmware update adds 4K support. Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. 0:00 Welcome Back Banter 00:31 Meta Connect Setup 01:27 Muse First Impressions 05:28 Privacy Trust Gap 07:58 Pervert Glasses Debate 12:55 Passive Surveillance Reality 15:42 Is Muse Actually Winning 18:44 Muse Charm Post Phone 21:38 Do We Need Agents 26:12 Break And Return 26:29 New Meta Hardware 27:00 Audio Only Ray Bans 28:30 Muse Powered Glasses 31:15 Meta Bets on Muse 32:28 Hearing Aid Glasses Pitch 34:40 VR Glasses Return 39:04 Holograms and Splats 42:44 Google Books Arrive 44:57 Android Laptop Lock In 47:49 Windows Fatigue Debate 54:54 Hype Desk Blade Drama 57:14 Remembering Blade Chaos 01:00:37 Blade Reboot Frustrations 01:01:26 Sonos Sponsor Break 01:03:07 Brendan Carr is a Dummy 01:07:38 Lightning Round Kickoff 01:08:02 Meta Muse Mascot Chaos 01:09:26 Paramount Warner Deal Fallout 01:12:37 YouTube AI Channel Agents 01:14:05 A B Video Testing Ethics 01:21:25 Xbox Layoffs And Halo Shift 01:24:45 Rodecaster Free 4K Update 01:26:36 Muse Marketplace Haggling 01:27:35 Wrap Up And Next Episodes Learn more about your ad choices. Visit podcastchoices.com/adchoices

Meta had a big week as Muse continues to be the hottest product in AI and Meta Connect introduced new glasses, a VR headset, and a charm all powered by Muse. But is this another AI flash in the pan or a fundamental change in how we use technology? Plus, we discuss Oracle's data center problem, the best tech hardware of 2026, and TPUs in space. Travis Hoium, Lou Whiteman, and Emily Flippen discuss: - Meta's New Hardware - Muse's Future - Oracle Declard Force Majeure - Ranking Tech Hardware - TPUs in Space - Stocks On Our Radar Companies discussed: Meta Platforms (META), Alphabet (GOOG), Stitch Fix (SFIX), Royal Caribbean (RCL), Oracle (ORCL). Host: Travis Hoium Guests: Lou Whiteman, Emily Flippen Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

GuzBass brings a wonky flavor to this week's episode of Dirtybird Radio with a set full of originals. Quirky sampels, randomized basslines, and disjointed grooves lead the way with these headbobbing dancefloor grooves. VR warm-up set:Kenny Summit - "Make Me Feel" [Good For You Records]FOOLiE - "Kookie" [SlothAcid]Justin Fahrmer & Faber - "Efficace" [House Of Hustle]BLK&WHT, Rodney Dinkles - "Bounce Like Me" [Qwerk]GuzBass guest set:Guzbass - MoveGuzBass, Tom Kench - Want_MeGuzBass - Analog Guzbass - 303 Mental h GuzBass- Needed you GuzBass - Bass sappp Guzbass - Fuck you GuzBass - NON SENSE GuzBass w Wizney - Pussycat Wizney, GuzBass - No StressGuzbass, Wizney - You Got GuzBass - Elect Tech GuzBass - stepping CrewGuzBass - YourSelf Wizney w Guzbass - Morning bass

Ben and Andrew begin with the Meta Connect keynote and a simple question: is this the first time since 2021 that Meta has been cool? From there, new VR glasses, the Muse Charm, a basketball analogy for Meta Connect in 2026, and the infrastructure and talent investments that have helped Muse resonate over the past few weeks. Then: An emailer shares his Muse epiphany, a potential secondary effect of agents saving users money, why Muse is not sharing user data with Meta, and the ultimate “aggregator of aggregators” upside. Then: Extended thoughts on the Muse vs. Amazon tensions, why Meta's Walmart deal was potentially crucial, and Amazon's moat in logistics (and returns) that may prove durable in the agents era. At the end: A CarPlay victory lap, and a round of AI Show and Tell with a wedding planner, a SunOS coder, and a fantasy football league.

Brought to you by TogetherLetters & Edgewise!In this episode: META'S HARDWARE BLITZMeta Launches $1,299 VR Headset That Look Like Glasses to Rival Apple Vision ProMeta is trying VR glasses (again), this time with more IMAXMeta introduces camera-free AI glassesMeta's Muse Charm looks like a Tamagotchi, but it's tapping into a much newer trendWHO'S WATCHING (AND PRICING) YOUSeattle City Council votes to ban surveillance pricing in sale of groceriesIf Flock Wasn't Enough, Dallas' AI Cameras Are Scanning Homes From Garbage TrucksTrump urges renaming AI to 'super intelligence' in UN speechMONEY MOVES IN TECHLovable's annualized revenue crosses $600M as vibe coding takes offExclusive: Infillion acquires location data company FoursquareSCIENCE BREAKTHROUGHSAnthropic says its biology lab has already found something bigInjectable nanoparticles make blind retinas respond to light in preclinical studyPLANES AND BIG RIGSUS halts flights at busy East Coast airports, says fiber line cut at construction siteHere's the Tesla Semi... againWEIRD AND WACKYWhat to do when your Waymo holds up a Secret Service motorcadeVogue sent robots down the runway at Vogue World, and people were not impressedTech Rec:Sanjay - ZuckOff Adam - Instinct Find us here:sanjayparekh.com & adamjwalker.com

Cortney Harding steps in as guest co-host this week, joining Charlie to unpack a genuinely strong Meta Connect, new occluded VR glasses aimed squarely at the Vision Pro, a camera-free Ray-Ban, and Muse AI's surprise climb to the top of the app stores. From there, the conversation turns to Disney's newly created CTO role, the quiet fate of its big-money bets on Epic Games and Sora, and Jeffrey Katzenberg's open letter arguing entertainment has always been a technology business. They close out the news with a sharp exchange on Amazon's push into drone delivery and a pointed critique of DraftKings' use of AI to target its most engaged, and most vulnerable, customers.Simon Horsman and Daniel Wood, co-founders of Quilty.app, join to talk about building an AI-powered script coverage tool for screenwriters who have no access to Hollywood's traditional gatekeepers. The two walk through how Quilty scores a script the way a studio story analyst would, the leaderboard system built to surface strong writing, and a striking real-world comparison Simon shares from his years running a film fund: a big-budget historical epic north of $220 million versus a hybrid AI production covering similar ground for under a million dollars. The conversation closes with how Quilty is trying to connect writers directly to producers in a system that's traditionally shut most people out.Key Moments: [01:35] A confident, glitch-free Meta Connect and what it signals [11:35] Disney creates a company-wide CTO role, hired from Character AI [13:35] The quiet status of Disney's Epic Games and Sora deals [15:35] Jeffrey Katzenberg's open letter on tech and entertainment [19:35] The backlash brewing over Amazon's drone delivery push [21:35] DraftKings, AI, and the ethics of targeting engaged gamblers [24:35] Simon Horsman and Daniel Wood join to introduce Quilty.app [30:35] A real budget comparison: $220M studio epic vs. under $1M hybrid AI film [34:35] How Quilty scores scripts and connects writers to producersBrought to you by Zappar and Mattercraft, the leading visual development environment for immersive 3D web experiences. Start building at mattercraft.io. Hosted on Acast. See acast.com/privacy for more information.

Earlier this month, world model company Runway introduced GWM Worlds 2, a research preview that “turns high-fidelity video and audio generation into real-time interactive simulation.” Runway calls this an “autoregressive diffusion” model; with autoregressive describing how it generates over time.One new feature in particular caught our eye: WorldPrompt, a proposed input format for specifying a generated world and the actions within it. It allows you to fix some aspects of a simulated environment — including the first frame — and then create a series of timestamped events. The events, or actions, can even be prompted in real-time.To understand the implications of WorldPrompt, we spoke to Kamil Sindi, Runway's CTO, and Robin Kahlow, its Principal Research Scientist for generative video and multimodal AI. We also have exclusive comments from Anastasis Germanidis, co-founder & co-CEO of Runway, courtesy of a podcast swyx and Vibhu did with him.Who's building real-time interactive world models?First, some context about world models that can generate interactive video and audio in real-time.Runway is reportedly valued at $5.3 billion, based on its most recent fund raise of $315 million in February. Its first release, GWM Worlds, was launched last December.Alongside Runway, there are several other notable projects in this domain: Google DeepMind's Genie 3 (which also generates at 720p and 24 fps), Odyssey-2 Pro, and World Labs' RTFM (Real-Time Frame Model). We've summarized their differences in the following table:Given the complexity and massive latency demands of real-time video and audio generation (which we'll get into below), all of the projects listed above have limitations. For instance, Google notes that Genie 3 “can currently support a few minutes of continuous interaction, rather than extended hours.”But as our interviews with Runway show, real progress is being made.The central idea of WorldPromptWorldPrompt, a new feature in GWM Worlds 2, helps differentiate Runway from its competition. You can think of it as a control layer for characters, cameras and the environment. As Kahlow put it, it's a way to “control all the different subjects in the world” — similar to a computer game.“Like, if there's an NPC [Non-Player Character] somewhere, the NPC might walk up to you and say something. So you could achieve the same thing with this kind of model, where you can have very detailed control over everything in the scene.”As the name suggests, WorldPrompt is a prompting mechanism — not a programming language. So, unlike virtual world games like Minecraft or Roblox, GWM Worlds 2 doesn't offer scripting capabilities or the ability to control state. But there's a power to that, as Sindi pointed out.“You can create promptable worlds on-demand with video and audio in sync, across all these different domains and environments. That's not a distant-future hypothetical thing,” he said.But there are also limitations to prompting a world model. We asked how reliably the model would follow an instruction to create, for example, a law of gravity or a certain ability in a character?“Yeah, so it's a research preview,” Kahlow replied. “So it's not perfect, of course, and there are still flaws. It really depends on how difficult the action is. I would say movement works quite reliably.”Sindi added that more training plus scaling the data and models is resulting in “better following.”How a video model becomes a real-time runtimeDespite the current limitations of GWM Worlds 2 — especially if you compare it to pre-designed and scriptable worlds like Minecraft or Roblox — the true promise of world models like Runway is that they'll eventually lead to fully self-generated, real-time games and experiences. Which is an extremely hard engineering problem, as Kahlow reminded us.“There are two challenges. One is making the model not generate a whole clip at once. So instead, you want it to generate frame by frame while you're looking at it. And the other challenge is actually making the generation fast, so you can play it in real time.”GWM Worlds 2 offers real-time interactive worlds streamed in continuous 720p video at 24 frames per second (fps) and audio at 48,000 Hz.Runway achieved this firstly by taking its foundational audio-video generation model and fine-tuning it to the new WorldPrompt format, so the model can follow that. It then post-trains the model to generate autoregressively.“And after that, we work on making it real-time through distillation methods,” Kahlow added.Co-CEO Anastasis Germanidis offered more technical details in our podcast with him. He told us that the process starts from “bidirectional diffusion that basically generates an entire video at once and [makes] it autoregressive.” This allows the model to “generate one frame or a few frames at a time.”Germanidis described two possible forms of distillation in order to make it real-time: distilling a larger model into a smaller one or reducing its diffusion steps. As a general example, he said a model might go from around 50 denoising steps to four, with some quality loss but potentially comparable results.The challenges of real-time generationGermanidis admitted that there were issues with how it generates real-time interactive video.“The biggest challenge with autoregressive models is error accumulation,” he said. “You're feeding generated frames back into the model to generate the next frames, and if there are any small errors, they accumulate over time.”Sindi told us there are also challenges dealing with “infinite generations” of content.“There's all these challenges around what context to keep, what to discard that's not important. And so there's all these optimizations we have to think about, so we're not blowing up our GPU memory.”Another current limitation is long-term memory. “The model does not have perfect memory,” Kahlow said. “That's still an open research problem.”Causality and correctnessWhile performance is the primary challenge for Runway at this time, its world model also has to produce plausible consequences when a user takes different actions.Germanidis used the example of simulating football; he pointed out that online video training data contains more successful goals than failed goal attempts, so a video model might render the first more convincingly.“If I take this action versus this action, you want it to generate equally realistic outcomes,” he told us. “That's, I think, the big gap between video models and world models: that idea of counterfactual generation.”Sindi told us that evaluation gets harder the more complex interactions get.“If you have this multi-prompt, multi-character, multi-scene [environment], how do you really understand what was causal and what was not?”To try and solve that, Runway has some automated verifiable tests. But since GWM Worlds 2 is a research preview, Kahlow noted that doing tests yourself is also advisable — “trying out your model to see what doesn't work is really important.”More than gaming — there are agent use cases tooGaming is the obvious use case for what Runway is building, but there are others. Kahlow mentioned robotics — for example using a simulated environment to test how a robot works.Another, more intriguing, use case is to use it to test agents at scale.“Having thousands of simulated environments is much less challenging if you have a suitable model like GWM Worlds,” Kahlow said.But how does an agent know what's changed in the world — is there a structured state that it can read, or is it just the generated video and audio that it's consuming and understanding?“So there's no structured state here,” Kahlow replied. “It's just observing the same thing you might observe in real life, just [in this case] from cameras.”Sindi noted that GWM Worlds can also be used for “synthetic data generation for agents.”Finally, Germanidis suggested there's potential to use these world models alongside reasoning models.“You're maybe using some reasoning [for] planning of the scene, and then you're passing it into the diffusion head that's actually generating the pixels.”Anastasis Germanidis* LinkedIn: https://www.linkedin.com/in/agermanidis/* X: https://x.com/agermanidisTimestamps00:00:00 Introduction00:05:17 Runway's Origins and the Bet on Generative Video00:12:23 The Stable Diffusion Story00:18:44 Gen-2, Controllability, and the Weekend Hack00:23:02 From Video Generation to World Models00:28:03 Learning From the World, Not Just Language00:35:04 Sora, Runway's Existential Crisis, and Gen-300:39:39 Why Real-Time Video Is Inevitable00:43:06 Interface World Models: Software Without Code00:50:25 The Fully Neural Operating System00:55:11 World Models for Robotics01:02:32 Robot Policies and World Action Models01:07:47 The Lucid Dream Test01:11:41 Video Agents and Omni Models01:23:12 Artists, AI, and Creative Workflows01:27:14 Physical AI and the Future of World ModelsTranscriptIntroduction: Runway, Creative AI, and the Early ThesisSwyx [00:00:00]: Okay, we're here with, Anastassios from Runway, with, me and Vibhu in the studio. Welcome.Anastasis [00:00:08]: Good to be here.Swyx [00:00:09]: Congrats on all your success and progress with Runway. You're opening offices all over the world. Did you envision this when you first started out?Anastasis [00:00:16]: Not quite. I think even when we started, we had this idea that, It was more a matter of when, not if, we were seeing the early generative models of 2016, 2017, and just extrapolating, assuming, we resolution, quality increases predictably over time. There's gonna be a point where most of content will be generated, and that was maybe the initial thesis of Runway was we will need, as a result of those generative models, rethink how creative tools are made. and as we built out the research behind, our generative models, it then became clear that they were useful far beyond that as well.Anastasis' Background: Art, Simulation, and Machine LearningSwyx [00:00:57]: And it is more obvious now with, like, the real-world stuff and the world models that we'll talk about later. I'm just kinda curious how you go from a background in, like, Zocdoc and, computer vision into Runway. Like, take us back to that early conversations with Chris and, whoever else is on your founding team.Anastasis [00:01:14]: I was always splitting through those two worlds. One was the I had my own art practice. I was making a lot of interactive art, I think for a long time. and then on the other side, I was working in startups, and I was working as a ML engineer, as a backend engineer at different companies. I've always been interested in, coding and computation, and especially interested in simulation and brought it back into my early artwork as well. And at the same time, I was interested inSwyx [00:01:43]: The personal site has a few, right?Anastasis [00:01:44]: Yeah.Swyx [00:01:45]: Is there one that we should pull up? Just in case there's something that's like. I just like to go down memory lane.Anastasis [00:01:50]: Yeah.Swyx [00:01:50]: Okay, what is this?Anastasis [00:01:51]: So this was, a project that I made, I think back in 2015, where I built this software that would give, voice instructions to people in a gallery space. So it would coordinate interactions between people. And so it will first give you an identity, like you're an, architect, you're 30 years old, and, you like sports. and then it would match you with another person, and you have this completely generated interaction. language models were not quite there at the time, and so it was it was a mix of some templates and some, like, some Markov chain-generated text, and it would just completely simulate these small talk conversations between, everyone in the gallery space. so was always very fascinated on the one hand with, generative models and, like, the early machine learning work that was being at that time. But at the same time, there was this separate thread of simulation and what it means. Like, what can we learn about humans by creating those very simple models of their interactions and their behavior?Early Generative Art: pix2pix, GANs, and Uncanny ValleyVibhu [00:02:56]: Did you generate the prompts or, the 30-year-old, whatever? Was it you generating them? How'd you, how'd youAnastasis [00:03:03]: Exactly. So the program would just generate- those, from. Yeah, a lot of it would be Mad Libs style of justVibhu [00:03:10]: YesAnastasis [00:03:10]: You have lists of different professions, lists of different,Vibhu [00:03:14]: HobbiesAnastasis [00:03:15]: Personality types, lists of different, ages, things like that. And then it would just combine those things together. And then maybe the next project we go is, Uncanny Valley, Uncanny Road, which wasSwyx [00:03:27]: GansAnastasis [00:03:27]: One of the first projects that, we built with, one of my two co-founders, Chris. This was taking, pix2pixHD, which was one of the early image-to-image models that NVIDIA released back in 2016 or 2017. and it was a model that would take a semantic map of a scene and then generate a photorealistic, let's call it, output. very early days, so it was not very high-fidelity outputs, but it w I think was the first image-generation model that could generate at 1K resolution. And it was all trained on self-driving datasets. So the semantic categories it would support were only, things you would encounter on the road. So it would be pedestrians, traffic signs,Vibhu [00:04:16]: StoplightsAnastasis [00:04:17]: Bikes, stoplights. And so that was one of our first indications that we built this and people were making all this, like, very surreal imagery of, yeah, a million plus a million pedestrians or a million traffic signs or, like, gigantic humans. And it was a indication that you could take a model that was trained on this very boring dataset, essentially, of, like, not that many interesting things happen when you're on the road, and then you can repurpose it and go very out of distribution and make something that was artistically compelling. And that was It's a summary of the thesis of Runway in some ways, that you can take the same generative models, and if you look at them from another direction, if you build interesting tools around them and you give them to artists, they're gonna do things that you don't expect.Vibhu [00:05:02]: Very cool. I like the, UX of it. You're just given an empty canvas, try whatever, do whatever. And then the other one, like, you see everyone with wired headphones? Like, that's, that's a sign that it's, it's veryAnastasis [00:05:16]: The AppleVibhu [00:05:17]: YeahAnastasis [00:05:17]: Apple, your version.Vibhu [00:05:17]: Original ads. Yeah. Take us to today. You've been doing this for seven years at Runway. How have we got to this? Like, how do we go from driving simulator data to all this? And you cover the whole stack of generative media?From Creative Tools to a Research LabAnastasis [00:05:33]: Interestingly, we're almost back in, we're, we're full circle. We're, we're now applying our models and beyond creative tools into real-world scenarios. But it was a, it was a long journey. It was very early on we realized the first version of Runway was a way to easily use the, all the open source model of the day, things like pix2pix to. and give them to artists. That was the initial idea, is those models are too difficult to use if you're not a machine learning engineer. Like, what happens when you give them to artists? Very quickly, we realized we needed to build a research org, inside of Runway, and that happened maybe on year one. And, a lot of the mandate there was. The image-generation models of the time, the video generation models of the time, or there were barely any video generations all the time, but they were not quite there where they could be productionized and brought into tools that would be part of creative workflows. so we need to push the frontier of the research. And so maybe the first four years of Runway, research was almost happening on the background until there was a moment in 2022, with latent diffusion, with, DALL-E 2, where, there was that step function change, and you guys maybe remember around the time.Swyx [00:06:49]: I started in this space because of latent diffusion and Stable Diffusion.Anastasis [00:06:54]: Yeah.Swyx [00:06:54]: Because I was like, “Wow, this is not only, like, feasible, it is doable on consumer hardware.”Anastasis [00:07:01]: Exactly, yeah.Vibhu [00:07:01]: I think the delta is also huge. Like, I learned pix2pix. Like, this was intro to ML, the TensorFlow, like, Jupyter, Google Colab notebooks were like this, and then you have a sudden step function change, with diffusion and whatnot. Any other ones since that. Like, there were clear examples of what early diffusion were to get to here. Any other changes in key technology research?Green Screen, Rotoscoping, and Early RunwayAnastasis [00:07:26]: Between, 2018 when we started and 2022?Vibhu [00:07:29]: Yeah.Anastasis [00:07:29]: So one of the early work that we did in Runway was solving segmentation, image and video segmentation. It was a very important problem because most VFX involves essentially separatingSwyx [00:07:42]: RotoscopeAnastasis [00:07:42]: Subjects. Yeah, rotoscoping. Extremely manual process. Nobody enjoys doing that. and so a lot of the early days of Runway was building this tool. It was called Green Screen, and it was for a long time the main thing that people were using Runway for. It ended up being used in, Everything Everywhere All at Once and a bunch of other high-visibility films and series. But that was essentially, Runway for a long time was a post-production tool until latent diffusion and generat- Gen-1, Gen-2, happened.Swyx [00:08:12]: Cool. let's, let's go past that moment. You've come a long way. Then you started releasing your own models. Maybe describe that journey as well.Scaling Video Models and the Bet on 1,000 A100sAnastasis [00:08:20]: Yeah, so we go to the other point, yeah, in mid-2022 when it became clear that we're doing research at a fairly small scale of compute, and it became clear that, like, scaling laws would apply to, image and video gen in the same way that we're applying to language generation. So we made a big bet, and I think at so at the time, we signed this deal to build a cluster of a thousand A100s, which at the time we were a Series B startup. That was a almost, slightly irrational decision maybe, but we really believed that if we trained a video model at a large scale, we would get, like, a great model at the end. And at the time, the goal or we set the goal around fall of 2022 of what is, what does the latent diffusion, Stable Diffusion moment look like for video? And at the time, the best model of the time was called CogVideo. it was one of the early video models. It was very 256 by 256 resolution, very not very high quality. and so we decided we're gonna build out this cluster, and we're gonna just invest in, like, in building out our own video model. it became clear as we're training Gen-1 that it was difficult to get to fully. we wanted to build text-to-video, but it became clear to us that an easier starting point would be to start from video to video. Because when you have a stronger conditioning, it's, it's an easier problem to restylize an existing video versus generate the video from scratch. And so we released Gen-1 first back in, it was January of, 2023. Yeah.Vibhu [00:10:04]: It's just a fun visual podcast, honestly. Like, if we can see February 2023, what was the state of stuff?Gen-1: Video-to-Video and Depth ConditioningAnastasis [00:10:10]: It's so interesting ‘cause at the time when you see those results, you think this is so incredible, and this is like, it's almost like image generation or video generation is solved. And then you look back a few years after, and it's like, it's It's just like you get used to the results very quickly, with those models. But at the time when we started seeing those results, it was, it felt quite incredible, and the level of, like, quality that you could get. And, so the Gen-1 was a depth-conditioned video model, so it would turn. it would take a input video, it would predict. it would it would first convert it into the depth map, and then we would generate, pixels with a latent diffusion model.Swyx [00:11:01]: Yeah, very effective.Vibhu [00:11:02]: Yeah. I didn't realize how distracting the blog post would be. Sorry.Anastasis [00:11:05]: Yeah, but, one of my favorite examples of on those, on Gen-1 was both, if you go up to mode three or mode two, there was this storyboard use case where people would makeVibhu [00:11:18]: OohAnastasis [00:11:18]: WouldVibhu [00:11:20]: You can mess around with theAnastasis [00:11:20]: Make a city out of books or out of boxes, and then they would shoot a video with their phone and then translate it into a photo-photorealistic output. There was all these ways in which those models were starting to be used for storyboarding and also for really. and then if you go to mode four, like, of taking untextured 3D scenes and then turning them into photorealistic output. So we saw a lot of use cases early on where people that were familiar, were power VFX editors would just take a blender, render, and then they would get translated in with Gen-1 or create a scene in Unity and then take a capture a video of it and then translate into, restylize it. So I still think video to video is powerful. I think we had a recent video-to-video model as well, and it's one of my favorite ways of using those models is essentially using them to use ground truth video as, like, the initial inspiration and then translate into different styles or different outputs.Stable Diffusion, Stability AI, and Open SourceSwyx [00:12:23]: But I think we're gonna go into, like, the rest of Runway and catch people up to speed today. I did wanna cover the, let's call it the Stable Diffusion controversy, or, what happened with Stability AI, whatever. I think there was a two sides of the story. I think there's part of that is a normal thing of, like, people, join and leave companies, but what is the, retrospective now that, there's been some years behind it?Anastasis [00:12:49]: Yeah, it's a very, it's a very long story to go into. I think it wouldSwyx [00:12:53]: Which I remember you wrote a really long post about.Anastasis [00:12:56]: We would probably cover the whole hour to go into it in more detail. But, essentially, there was the latent diffusion paper that came in, I think that was at the end of, 2021. And then Patrick Esser, who was one of the researchers behind, latent diffusion, and he worked at Runway at the time, he built latent diffusion in collaboration with Robin Rumbach and a few other folks back, in the in, CompVis, which was, a labSwyx [00:13:26]: Like a research group, yeah.Anastasis [00:13:27]: And, after releasing the early latent diffusion model, they, essentially they were. the goal was to keep working on versions of the model, scale it up, incorporate new data, incorporate new tasks. And Stable Diffusion was the same model, but trained on more compute, and then with a few more tricks, like a classifier-free guidance paper came at some point, I think in the early 2022. And thatSwyx [00:13:52]: Which, like, was a big prompting improvement.Anastasis [00:13:55]: Yeah.Swyx [00:13:55]:?Anastasis [00:13:56]: That improved results. it was trained on better data, so like, the esthetic subset of LAION, but it was effectively, the same underlying architecture. And there was that big training run, that, happened on Stability's cluster. Stability financed that run. And looking back at that story, I think it was the work to build and train that model was done. It was a, it was a research project. It was done as part of, like, continuation of the latent diffusion work. It then, I think it the model became very successful, and it, I think there were the. And I think as a result of its success, other companies tried to, figure out the commercialization path for it. But for us, it was very important that we try to, we make sure that we. It was meant to be an open source research project, and so the we decided that we should continue releasing versions of it, since that was the original goal of Stable Diffusion, and that led to releasing Stable Diffusion 1.5. There was maybe a day of, a bit of, miscommunication there, but ultimately that was resolved very quickly within hours. so yeah, there wasSwyx [00:15:12]: OkayAnastasis [00:15:12]: Not a niceSwyx [00:15:13]: I just wanted to. you have toAnastasis [00:15:15]: Yeah.Swyx [00:15:15]: You're one of the main players in that journey, and so it's nice to hear from the source of, like, what happened. Yeah.Anastasis [00:15:22]: Yeah. I think it's all, it's all in the past nowSwyx [00:15:26]: YeahAnastasis [00:15:26]: I would say. and, like, both companies, Stability took its own path, Runway took its own path.Swyx [00:15:32]: Yeah. There's still. James Cameron is backing the new Stability, whatever they're doing with the Hollywood studios.Anastasis [00:15:38]: Right.Swyx [00:15:38]: I don't know what they are doing. I think one thing that impresses me, and I'm happy to move on, is that back in the that time, let's say, like 2021, 2022, there was this community of people that you were involved in that was researching all this stuff, right? And, like, from everyone I talked to who was active then, it seemed like it was fairly obvious that somebody would do the hero training run that would produce Stable Diffusion. So, like, I guess the question is, like, you had the you were you had made investments. You were you had the foresight. Is it accurate to say, like, that is reflective of, like, what people were thinking at the time? Or was it still very much like, “Well, we'll use it as, like, a post-production tool or something. I don't know.”? Like, where in the sentiment were we that maybe you can think back to, like, what the community was like back then?The Early Creative AI CommunityAnastasis [00:16:28]: I reminisce and I think very fondly those early years, from like 2018 to 2022, because it was a very small community that, as you said, were very convinced that this was gonna be a big thing. And at the time, anyone who. Because it was such a small circle and, everyone who would, like, be part of that circle and, like, make projects with it would, immediately get, go viral. so likeSwyx [00:16:55]: And you didn't know who they are, right? They're just some name on a, GitHub or Hugging Face somewhere.Anastasis [00:16:59]: Exactly, yeah. So I remember one of the first big viral moments of creative AI was, there was the neural style transfer paperSwyx [00:17:09]: HuhAnastasis [00:17:09]: ThatSwyx [00:17:10]: Something dreaming?Anastasis [00:17:11]: I think it was called neural style transfer.Swyx [00:17:14]: Okay.Anastasis [00:17:14]: There was also Deep Dream, the puppy sliceSwyx [00:17:16]: YesAnastasis [00:17:16]: Which was, also really cool. but, yeah, there was this project that, Jim Kogan, who was an early advisor of Runway and one of those,Swyx [00:17:25]: Marketing guysAnastasis [00:17:26]: Big, creative AI, folks, he literally just, like, showed a video of himself taking the New York Subway and going over the Williamsburg Bridge and then stylized it with, I think in the style of Van Gogh or, like, one, painter. And that was. Like, at the time, that was, like, so cool and it went viral and it was completely revelation to people that you could do this with generative models. And that was only, it was less than. It was maybe 10 years ago. So just, like, as an indication of, like, how quickly things have gone.Vibhu [00:18:02]: It's pretty crazy. Like, even since then, you've got people at every level of the stack. You've got devs, creatives, artists, hobbyists. You've got everyone using it. And for people that tried stuff early, they'll remember how hard it was to use regular diffusion, right? Like, nowadays, you can use your favorite ChatGPT image gen or whatever, give a sentence, get a beautiful output. But diffusion was like, the whole ultra HD, 4K, high resolution. Like, prompting these things was very different. anything you learned on the tooling side, like from the offerings you guys have now, so like creatives, devs, you really took the. Research and brought it to everyone to use. anything interesting there to share?From Gen-2 to Controllable Video GenerationAnastasis [00:18:44]: We had to build the entire model serving infrastructure for video diffusion models. There was nothing else, already, like, because we had Gen-2 was the first text-to-video model, I think, out in the market. So many things that we learn over time. I think the I think the biggest one was, like, we. it was very clear early on that text-to-video was not gonna be the answer. Like, you. Like, people wanted a lot more control than that, and so we invested in, like, control building on top of those models very quickly. how do you use the camera trajectory as control? How do you use an initial input frame as control? So that was a very early learning for us. With text-to-video was, like Gen-2 was an amazing, step function improvement in the quality of video models, but it was used much more in an exploratory way because there was nothing to ground it to. There was no reference that you could bring into it. There was no. You couldn't really control the camera motion. You couldn't control the object motion. And so the first year, in 2023, was really all about what are all the interesting ways in which we can condition those models? And it was a lot of just post-training rounds on top of the base model to figure out, like, what, -- how do people wanna control them? And so there was, like, this quick succession of the we it was called Motion Brush, which was you could, like, you could draw arrows and dictate where things should move in the scene.Vibhu [00:20:09]: That's so cool.Anastasis [00:20:09]: There was camera control that was you could just describe, like, how you want the camera to move in the scene. And because we work with filmmakers from the most of the history of Runway, we immediately got this feedback and got this, decided that this was worth investing in. And so control ability became a big theme, I think, very early on as we were building, as we were building those models. Something fun that I haven't really talked about too much was just how Gen-2 came to be out of Gen-1. So it was a bit strange because we announced Gen-2 two months after Gen-1 andHow Gen-2 Came From a Weekend HackVibhu [00:20:43]: We're accelerating.Anastasis [00:20:44]: It was before Gen-1 was even generally available. But Gen-1 was a depth-to-video model, so it would take a depth map and it would convert it into RGB. and we couldn't get, text or image-to-video to work directly, and that's why we started from depth to video. but, and we had discussions of like, okay, we need to spend the next six months investing in text-to-video, maybe increasing the compute scale or the model scale, like train a larger model. And I had this weekend project idea, which was, what if I take a model that, starts from text input and converts to depth maps and then use Gen-1 to convert the depth maps Into RGB?Vibhu [00:21:29]: It would probably work.Anastasis [00:21:30]: And so Gen-2 was that.Vibhu [00:21:32]: Oh. The hackathon pipeline.Swyx [00:21:35]: The weekend hackathon pipeline.Anastasis [00:21:36]: Yeah.Vibhu [00:21:37]: But it looks good.Anastasis [00:21:38]: And it worked pretty well. there were if you, with the knowledge that it has this, like, two-stage pipeline, you can tell in some cases that the structure of the video looks a bit off because you had to generate the depth first before you go into the output video. But it worked and it allowed us to bring this to our, to users very quickly. But it's now it's interesting because, like, people are coming back to this almost two-stage approach. Like, if you look at the Reve text-to-image model that came a few months ago, it had this planner model that would generate bounding boxes before it fed that into the diffusion transformer.Swyx [00:22:19]: Yeah, Ideogram also the same day.Anastasis [00:22:22]: Yeah.Swyx [00:22:22]: I remember that was very strange that both of them came out the same day with the same exact innovation.Anastasis [00:22:26]: It's a small community, I think.Swyx [00:22:28]: I'm like, this is like, this is completely coincidental, right?Anastasis [00:22:32]: People talk. So yeah, there's, there's definitely something into this approach. And, now, like every single like, video generation model in production uses a complex prompt completion pipeline under the hood. I think that's no secret that there is. ThatSwyx [00:22:48]: Humans are terrible at prompting.Prompt Rewriting, Camera Control, and the Seed of World ModelsVibhu [00:22:51]: I think across the board.Anastasis [00:22:51]: Yes.Vibhu [00:22:52]: But yeah, I think like the original Sora one blog post even told you that what happens after your input is rewriting your prompt. It's much more descriptive about what you would want.Anastasis [00:23:02]: Exactly. I, And there was the DALL-E 3 paper beforehand that, was the first public, description of the fact that synthetic captions and really detailed captions work really well. And then Sora built on that. Yeah, so it was 2023. We were releasing all these updates to Gen-2, like the camera control, Motion Brush. And there was something very interesting about camera control because it was the first time that you felt that instead of, like, you were creating video, you were creating a short video, you were navigating inside the world. And I think camera control was maybe the seed of some of the ideas that we had around world models and really opening up that research direction. We realized, it was this era and this series of, Gen-1 and Gen-2 models really proved to ourselves, yeah, this is theSwyx [00:23:56]: Cool.Anastasis [00:23:57]: So this is not the original camera control. This was the updated camera control on top of Gen-3. But yeah, I think it made those models usable to filmmakers, I would say. The so camera control was very popular. And so we realized, there is one way of seeing those models, which is, you're just as content creation machines, and there is the other way, which is you're. As you're predicting video in order to predict video well, you need to simulate the world in an increasing and increasing capacity. And if scaling laws apply on video, just like they apply on language models, then as we scale the compute that we put into those models, then they're gonna be able to simulate physics, they're gonna be able to simulate human actions and dynamics increasingly well and predictably well. That was the thesis about around our efforts on world models, and we spin up this research group to just focus on the world models and how do we turn the video generation models that we're building into something broader and something that would be useful beyond, also content creation as well.Swyx [00:25:04]: And that was roughly when?Anastasis [00:25:06]: Yeah, so that was inSwyx [00:25:06]: OhAnastasis [00:25:07]: In late 2023.Vibhu [00:25:08]: Interesting. like, I think, a lot of people have been saying a lot of video gen model companies have all pivoted to world models these days, but like, 2023, you're posting it. oneWorld Models: From Video Generation to SimulationSwyx [00:25:21]: It's, it's debatable whether it's a pivot.Vibhu [00:25:23]: Yeah.Swyx [00:25:23]: Like, arguablyVibhu [00:25:24]: YeahSwyx [00:25:24]: That's what you always had to do anyway, right?Anastasis [00:25:26]: It's in a way an expansionVibhu [00:25:28]: YeahAnastasis [00:25:28]: Of the applicationsVibhu [00:25:29]: YeahAnastasis [00:25:29]: Of the models as they become more capable.Vibhu [00:25:31]: The early signs, it seems like the original models you guy had, guys had, people would say it's very not bitter lesson pilled, right? You're adding, rewriting prompts, you're having all these one-off things, but that's just the state of the tech as it was versus the future of as you said, you can scale it up as, we can scale up to world models.Anastasis [00:25:50]: Yeah. So it just became. And if you looked at the outputs of Gen-2Vibhu [00:25:56]: YeahAnastasis [00:25:56]: It was not. I think it was not obvious to people that this would scale to become a general simulator of the world. Like, you had very limited movement, you had, very low fidelity or low resolution, like obvious mistakes in human anatomy, like all kinds of limitations. But it was just, the idea was that's just GPT-two, and GPT-two, it can barely generate, like, coherent sentences. Similar, Gen-2 can barely create coherent video, but if you scale it up, you're gonna. There is no reason why it shouldn't work in a way. It's, And I think that was. That's, that's always the mindset of Runway is like this extrapolation of, like, if, like, even when we started in 2018 and you looked at the results of the day, you need to look more at the trend of, like, where we were in 2018 versus when we were at the, when the first GAN came out in twenty, four 2014 or twenty, fifteen. And, you started from, like, thirty-two by thirty-two images of faces, and then by the time in 2018, you could generate, street images at the 1K resolution. And it was the same with world models, very early signs of something much bigger.Swyx [00:27:08]: Yeah. I was gonna say, like, it's diffusing into focus. Like, if you look at our visible output from year to year, it looks like a diffusion process itself.Anastasis [00:27:17]: Yeah.Vibhu [00:27:17]: Especially watching the early, like, old blog posts, you can really see the choppiness, the details.Anastasis [00:27:24]: Yeah. Like human civilization starting from random noise and thenVibhu [00:27:27]: YeahAnastasis [00:27:27]: Denoising intoSwyx [00:27:28]: Yeah. Just run it a hundred years.Anastasis [00:27:30]: Civilization.Swyx [00:27:30]: Yeah.Vibhu [00:27:31]: That's how you're on track, you're still noising, right?Swyx [00:27:34]: Yeah. I like the way that you guys phrased it when you, announced it in June, which is, oh, that you had a video essay. “The human mind is no longer the center of AI. Our world is.” Right? Which is, let's, let's call it the past five years of LLM-based AI is very much like trying to emulate human preferences and human speech. But now that's, like, mostly solved. I think that's, like, some of the context of your essay, which you also wrote around the time. And now it's like the focus is on modeling the world accurately.Scaling Laws for Video and Why Predicting Pixels MattersAnastasis [00:28:03]: Exactly, yeah. So the way we see it is, there is that, initial mission statement of DeepMind, which is, solve intelligence and then use it to solve everything else. But I think it's starting from everything else, could be valuable of, like, starting from. there is just so much complexity, and detail in the world that in order to. That it's, it's hard to learn directly from just human descriptions of the world. Like, we're assuming that, like, language models learn from everything that humans have written about the world, like our own understanding as of, the twenty twenties. And there is just so much that we don't know and so much that's not captured by existing text, about both the low level dynamics of the world, like we're not describing in detail. if I tell you to describe, like, how do you tie your shoes, that's a very difficult thing to describe in words, but it's very obvious thing to demonstrate. And so I think there's been. And there's, more of X paradox, like we're constantly underestimating all the complexity that goes into very, like, things that we do subconsciously as humans, and we don't even necessarily always have the words to describe them. And so in my mind, the simulating the world and simulating, physics, simulating the dynamics of the world has always been underestimated, compared to, we place too much emphasis on the things that are easy to talk about. but there is just all this complexity and richness of the world that if we just try and train directly on that observational data instead of training on how people describe the world, we would learn something new that we wouldn't otherwise know.Swyx [00:29:54]: You think that the present architectural paradigm is fine? You don't need, like, another layer, like JEPA, like another famous, New York AI leader would say?Anastasis [00:30:05]: We're a very pragmatic research lab. If, we have evidence that an approach works better than the approach that we're taking, then we have no qualms to taking it. We just have seen no indication that video prediction itself doesn't scale. And even if you look now, not just our work, but the work of others, you're seeing in robotics some of the most promising work, starts from video prediction models, and then you adapt them to also the action models, for example. so there is very little evidence that you need something else and that your time is better spent on a novel architectural change compared to improving data and improving the, and scaling the current approach. And so, We don't have any indication that. the, there is that counterargument that I think there was a tweet by Yann LeCun a few days ago that, understanding the dynamics of the world is very different than, generating, cute videos.Swyx [00:31:05]: And your answer is no, they're the same thing.Anastasis [00:31:07]: Yeah, they're the same thing.Swyx [00:31:08]: My cat videos are the same as understanding physics.Anastasis [00:31:11]: Right, because if you wanna generate. video models can cheat and, like, they could you could give, like, successive dif shots of the scene in a way that doesn't require you to simulate difficult physics. There is like, all these different ways in which you can hide the deficiencies of the model, and it's important not to be too tricked by the performance of the current video models. It's easy to, cherry-pick examples and think that video models are further advanced than they are. So there is a lot more work that we need to do to improve those models. But in my mind, very similar to language, and, like, we've. you go from barely coherent sentences to something that, could hold a conversation with a human to something that could can operate autonomously for a day and, like, create entire code bases. And the main difference, there is some architecture improvements along the way, but the main thing is scale. And so it's the same bet for video, and we have no indications that this is saturating. Like, we have benchmarks that we use for measuring the physics of those models, and we see those predictably improve as we scale those models. So there is. If you want to Google up, Physics-IQ, is one of those benchmarks that measures how well does the model perform at solid mechanics or fluid dynamics or optics.Vibhu [00:32:32]: I'm curious if you've seen any emergence, any scaling law around this.Swyx [00:32:37]: Yeah, he's saying there is a scaling law, right?Anastasis [00:32:39]: Exactly.Vibhu [00:32:40]: Yeah,Anastasis [00:32:40]: So the way those models, those benchmarks work is you. the researchers have gone and, like, captured, a few videos that are representative of different physical phenomena, and then you can take the first frame and then pass it through an image-to-video model and then generate a rollout that shows what should happen next. So you have, a ball hanging from the ceiling, and then you use that as input, and then you the model predicts how the ball should fall on the ground. and this measures. we have an intuitive understanding of physics. I know, you can imagine what will happen next if I drop this bottle. So it's measuring that same intuitive physics understanding of those models, and we've measured that at different model scales, and we see, and compute scales, and we see that the score on physics IQ predictably improves. There's other, tricks and techniques that you can make to improve the score even further, but even scale alone helps, in the model learning better physics.Swyx [00:33:40]: My main sympathy with Yann LeCun is the, Plato's cave allegory, right? Like, you're, you're, like, learning on the output of a thing, not the internal process of a thing, and it's very noisy. And, if only you could observe the internals of a thing. It's hard to observe the internals of a human mind, but you can very much observe, or at least we have a whole branch of science and physics that we're ignoring on how to model Physics and movement and, gravity and, other interactions. and we're just, like, throwing away all of that and just saying just scale data, which is very much the lesson of unsupervised learning, but it feels wrong. that's the main idea.Anastasis [00:34:21]: I think the history of machine learning is, at large, it feels wrong.Swyx [00:34:25]: Yeah. It's a bitter lesson, right? Yeah. It's, it's, it's the simple answer to that.Vibhu [00:34:29]: I guess, how much can you scale? So, like, even on, let's say, the video generation side, like, there's one side of video understanding. Video generation, are we still gonna have tools where it's like, I wanna generate two hours, twenty hours? there's a infra way to do it in batches and stitch it together, but, like, do we just keep scaling? Do we just continue long generation consistency, all that at scale? And, like, tying it into where we're at now from we looked at Runway two to four point fiveGen-3, Sora, and Runway's Scaling InflectionAnastasis [00:34:58]: Yeah.Vibhu [00:34:58]: Like, technically, what advancements have we made to today, and then where do you see things still going?Anastasis [00:35:04]: So part of the answer is definitely scale. and that was. We learned that lesson in a big way for with Gen-3. So Gen-3 was the model we released the year after, like in 2024. That was a few months after Sora was released. so yeah, there's an interesting story of that came to be as well. Gen-3 for us was, the first time that we really needed to build. we had to learn all the lessons that the language model world learned in two in three years in the span of a few months. one of the biggest changes of Sora was using diffusion transformers instead of convnets. So a lot of the early, latent diffusion models were all, convnets for the diffusion model part. And the diffusion transformer paper came at some point in 2023, and it showed scaling laws for image, diffusion transformers. And we realized at that point that we needed to invest in infrastructure for model parallelism, for really scaling training to larger than, a few billion parameter models. And we spent maybe the, most of the fall of 2023 building out our infrastructure for distributed training. And we had a lot of false starts and a lot of failure in trying to scale, image and video diffusion transformers. And at that point, February 2024, Sora comes out, and the results areAnastasis [00:36:35]: Very much superior to what Gen-2 could produce. There were a lot of, a lot of chatter on Twitter about Runway. Runway's done. like, there is no way Runway will catch up. And if you remember, also OpenAI in the early twenty-It felt very, like it's aSwyx [00:36:56]: To the moonAnastasis [00:36:57]: It's a formidable opponent now, but at that point, it, they were on the top of their game. nobody could even get close to them. There was maybe Gemini was just the first version of Gemini had just released. So when OpenAI came with Sora and it was such a big jump of like quality, it gave me, there was like an existential crisis for a few hours. But that, I think the amazing thing about Runway and like I think the, we've been around eight years now, which is almost we're dinosaur in AI, and we had to like, we had there was a lot of those moments we had to learn, adapt very quickly and build out skill set in the team that we didn't have. And so, if you ask anyone what is their favorite time at Runway that was there during that time, it was that push in like three months to get to a model better than Sora. and it, we scaled 10x the model scale, the model size and the, compute that we were training on. we figured out model parallelism. We had zero expertise in that. And then we came out with Gen-3 during that summer. So that was a big turning point, I think, for the company where the research org grew very quickly, and we really started pursuing this vision of the general world model, in earnest, I think after Gen-3 was out.Swyx [00:38:12]: Yeah. that's the amazing thing about building when you're building. There's no stack to. You have to invent everything yourself. You have to be completely full stack. Now I think like there are inference specialists like Fal or whatever that can help with like, model serving, and I think you guys work with them as well. but yeah, like it's, it. But at the time, it was just. It's very interesting to think about what you do when Sora comes out and people are questioning whether your company should still exist.Distillation, Turbo Models, and Real-Time VideoAnastasis [00:38:41]: Yeah. And yeah, there was no, there was no VLM of diffusion models. Like, we had to build the whole model serving infrastructure and make things efficient. And a few months after we released Gen-3, we released the Turbo version, which I think was the first step-distilled model in production.Swyx [00:38:56]: That was a whole trend that we covered as well. Yeah.Anastasis [00:38:59]: So that allowed us, to serve those models at the larger scale, ‘cause I think the first version of Gen-3 was quite, expensive to serve.Swyx [00:39:09]: I think the whole like trend in like consistency models, Lightning and, Turbo and all these things somehow didn't really stick around. I don't know if you have any reflections on this. Because at the time, I was like, “Well, everything should start with a distilled model first, and then you can upscale,” right? It. your bigger models just turn into fancy upscalers, but like you should always draft with a smaller model and faster model, right? Because you can get it so quickly, like near real-time.Anastasis [00:39:39]: Yeah. I would not be so sure to say that didn't stick around. I think that, it's, it's likely to. that there is a lot of step-distilled models that are actively used in production. there is still a gap in quality compared to the, non-distilled model. but in my mind, we're still. there is a two to three year offset from language models. So the things that, So it's just a matter of time before there is better distillation techniques. we use. Right now we have a real-time model core character that I think is the largest deployment of real-time video models, that's a step-distilled model, and it's actively being used. It's a very specific use case compared to a general video model. So this is aSwyx [00:40:27]: Very cool, by the way.Anastasis [00:40:27]: This is avatars stuff, right?Swyx [00:40:28]: Consistency, character.Anastasis [00:40:30]: Yeah. So this is a talking avatar, model. we were able to. we optimized the hell out of it, and it generates at 24 FPS, and it's a, it's a step-distilled autoregressive video model. So if we look at our world model direction, a big component of it is starting from the bidirectional diffusion that generates entire video at once and making autoregressive shows. So you generate one frame or a few frames at a time. so there's a lot that goes into that pipeline of getting to a real-time model. It's first you need to make it into a causal autoregressive model, and then you just turn it into. You need to do some additional step distillation to get it to be real-time. and I think that part is just starting. I'll be very surprised if we're, two years from now, we don't primarily use real-time models. To me, real-time video generation is just inevitable that, it has much better user experience, it's much cheaper to serve, and, the quality gap between the base model and the real-time model is only gonna close as we figure out better, distillation techniques. And we made a lot of progress there internally on maintaining the quality of the base model when we distill them.Swyx [00:41:49]: How much of this is transferable? So is it the same base model? Like if you're doing diffusion across the whole sequence and you're converting it to step autoregressive distillation, is this like distillation where you still need to train both, you can use the same base and converter? What's that process like to go from regular model to something that's real-time on a technical level?Anastasis [00:42:11]: So the nice thing about diffusion models is you have, two axes of distillation. So there is the. You can distill to a smaller model, which resembles what you do in LLMs, or you can distill in terms of taking less steps, less diffusion steps. So you could take a model that generates in fifty steps and generate in four steps and get to, You have some performance, degradation, but very often you get comparable outputs. So you can even take the large frontier model and distill it with step distillation and get to a real-time performance, and that's what we've seen. So, depending on the use case, in some cases we might also serve with a smaller model, but in a lot of use cases, we just use theSwyx [00:42:56]: Step distillationAnastasis [00:42:56]: The frontier model, and we're able to make it work in real-time.Swyx [00:42:59]: I think this might be a good time to cut over to his laptop to show off some of the real-time stuff that you're doing.Interface World Models and Neural SoftwareAnastasis [00:43:06]: This is one of the research updates that we did recently. so we've been working and f in getting our general world models to, different applications. one of them that we think is very compelling is using general world models as essentially, an interface, a universal interface to software. This is a version of our world model that's called an interface world model. and the idea is that it essentially, replaces, the, front end of a software application. It renders the pixels directly of an interface and is trained to predict what happens next as a result of, a click or another interaction you have with the interface. So this is all pixels. it's there is no HTML, CSS, React that's powering this interface. This is directly at the output of our real-time, video generation model, and it takes clicks directly as input.Swyx [00:44:09]: And drags, click and drag.Anastasis [00:44:12]: Right. So it supportsSwyx [00:44:13]: Ooh.Anastasis [00:44:14]: Yeah, clicks. It supports drags. it also supports scrolling. and the amazing thing about this is that you can effectively describe in the prompt how you want different elements, like what do you want the behavior of different elements to be. So it's almost you're you can turn, an interface from, markup language description of, like, an HTML interface, and instead you can just describe the interface. if I press this button, I expect this to happen. If I press this button, this should happen. And it's useful, we believe, both for prototyping, for, like, just testing, like, what different interactions would feel like. you can also add audio to it. So it's a video audio generation model. So you get you essentially can describe both what the visual outcome should be of your click and also what the if there is a sound effect that comes out of it. So we believe that's gonna be a much more flexible way of building software. Just render. It just, in why generate the code that generates the pixels? Just generate the pixels directly.Anastasis [00:45:18]: It's the end-to-end philosophy applying applied to front ends.Anastasis [00:45:25]: So we think there is a few interesting use case. So you can build creative tools on top of it.Anastasis [00:45:32]: We think that, for any use case that involves a lot of exploration or, like, educational use case where you wanna learn about a new concept and you want some visualization and like, and open-ended exploration, we think those this is a very powerful, approach. you can imagine new forms of, design, industrial design software that could emerge as a result of those models. And this is all, generated in real-time as well. So, you can build a lot of interesting camera transitions and forms of interaction that are very difficult to build otherwise. And one way in which we evaluate this is what if you try to generate the same interface with Claude by just, prompting Claude, “Here's an image reference of my interface that I made in Figma or that I created somewhere else. create this particular interaction,” which in this case it's, drag that object, upwards. and beyond it being slower, it's also very difficult to capture some interactions by just fully, with just LLMs. So we think that this is likely to be the way that a lot of the future, like, software in the future will be created. and one of the additional benefits is personalization might be a lot easier done with those models. Like, you can essentially try out different prompts based on who is visiting the interface. You can, more easily, prompt engineer the interface to have larger size, text for more accessibility reasons, or you can make this or, like, if you have a particular aesthetic preferences. So we're very excited about this approach. It's early days, and I think we'll need to, make it more cost-effective as well to serve those models ‘cause, running a real-time video model versus just purely rendering HTML, there's -- the computational needs are much higher. but we do see a lot of potential in this approach to building front-end interfaces.Swyx [00:47:47]: So we covered this similar thing with Flipbook before with our, Ethan Hara episode with Groq, video. And yeah, I think it's very engaging visually. I think it's maybe very good for education, but it's it does sound expensive. I think there's an upper bound to how expensive it will be, though, right? Like, the inference cost will go down over time. You'll figure out ways to optimize it. Effectively, when it pauses, you don't you're not receiving human input. You don't have to generate anything, right? So.Anastasis [00:48:14]: Yeah, you could also. Like, in this case, you have ambient motion, so there is parts of the screen that might. if you're let's say you wanna, visit Paris and then you get this interface that allows you to explore.Swyx [00:48:29]: People walking. Yeah.Anastasis [00:48:29]: You have people walking or, like, things happening. But, it's, it's a no Yeah, it makes it more expensive because you need to run the model all the time. Maybe you have some looping mechanism so you don't need to do that. But all those things, I think, is stuff we'll need to figure out.Toward a Fully Neural Operating SystemSwyx [00:48:44]: Yeah.Anastasis [00:48:44]: I think our first consideration is let's make this clearly find some use cases where it's clearly a much more compelling interaction compared to traditional interfaces. And then it's a matter of time before it becomes more cost-effective to serve.Swyx [00:48:58]: Yeah. When it comes to the people walking, I think the approach that makes the most sense to me is Nick.Anastasis [00:49:04]: Nick.Swyx [00:49:04]: Oh, God. I keep messing up their name. With Chris Manning and Fanny Yan. I don't know if you've come across them, where they. Mapped to some game engine. I think it's Unity or something, or Godot. And they you can script some NPC behavior behind that and train on that. Whereas here, you can really imagine whatever you want. Like, that is a UI, right? Like, and it feels, like, more tractable, I guess, to, create a world model of software that is interactable because we have many of examples of that, and you can, do your fancy RL environment stuff on that than it is scaling up to embodied and real-world physical use cases. But this is a nice first step.Vibhu [00:49:43]: Or, there's the opposite of you have, like, one B models, three 50 million parameter language models. It just gets so small that they're just predicting, like, fishes moving.Swyx [00:49:53]: Small models are now 120 B, so.Vibhu [00:49:57]: Ultra mini on device.Vibhu [00:49:58]: But, no, I think it, like, it puts it into perspective, at least the car one for me, like, the applications, right? The amount of work to do that, sure, you only make one model year car per year, but applying this, it's also a cost-saving to have to manually make all this, right? So it opens up a lot of possibilities, too. I'm curious if you extend this out two, three years, so where do you see things going even further?Anastasis [00:50:25]: Effectively, the end game of something like interface world models is you have, a fully neural operating system. So I think, Andrej Karpathy has written about that quite a while back. But it's, You, I think to me it's, it's a bit, it's a bit odd that, we have, for example, with an interaction with an LLM of today, you have this LLM that can talk to you about anything. It can You can take the conversation in any direction. You can It's very general, so it can solve all those different tasks, but you interact with it through a very rigid interface. And so to me, it's just a matter of time before the interface itself becomes learnable and becomes, part of the whole loop of, like, you're not just delivering. You're delivering an application end-to-end, and that means you're delivering the language model, but you're also delivering the render and the pixels and that's also a learnable component. And the concept of applications might not necessarily. I think we'll need to figure out new abstractions for software. the concept of application comes from this idea that you need, separate code bases to describe, to, for, to power each individual, tool and each individual application. But you might think of something a lot more unified if you're. if you have, a video model that's generating the interface as you go. so it can take context from an LLM and allow you to combine different functionalities that traditionally would live in different applications. So it's a, it's a way to solve, software end-to-end, effectively. We also see this as a powerful way to train computer use agents as well. so this is, one way to see this as. And in general, with world models, there is those two directions. One is world models for humans and world models forSwyx [00:52:24]: AgentsAnastasis [00:52:24]: To train agents.Swyx [00:52:25]: Yeah.Anastasis [00:52:25]: And so for every new work of, world models that we do, we have this both uses become possible. So this is a powerful synthetic data generator for training computer use models. It could become, a live, RL environment that you could use to do online RL with a computer use agent, and you can get wide diversity of different interactions, kinds of interfaces, just generated on the fly that, to improve the how robust the, your agent, becomes. So that's the same also with the world models that we're working on for a robotics use case as well.Long Context, Error Accumulation, and Autoregressive VideoSwyx [00:53:02]: Is there a research breakthrough that you're Waiting for that would unlock the next set of use cases that you really wanna pursue?Anastasis [00:53:10]: Long context is a very important one, so being able to maintain consistency for long periods of time, and that depends on the use case. So for our characters model, for example, or for the interface world model, it's easier to maintain long sessions of interaction. If you go into more open-ended worlds that you navigate and you take arbitrary actions in, we, like, there is more the context at which you can and duration which you can generate becomes limited much more quickly.Swyx [00:53:40]: Yeah.Anastasis [00:53:40]: So we see more degradation and error accumulation happening. so the biggest challenge with autoregressive models is error accumulation, is you're feeding generative frames back into the model to generate the next The next frames. And if there is any small errors, they accumulate over time. That's not a new problem. It's a problem that LLMs also have, and we've seen the ability to generate now really long outputs. So it's a solved problem, but it's definitely still a challenge.Swyx [00:54:08]: Yeah. And what is the state of the art? so for Grok, it would be like 10 to 20 seconds of context going in there for video.Anastasis [00:54:16]: With our characters models, we're able to generate up to 30 minutes of video autoregressively.Swyx [00:54:21]: Yeah. But that's just for the avatars.Anastasis [00:54:24]: Yeah. So if we look at, GWM Worlds, which is more our open-ended world exploration model, it's, it's on the order of a few minutes, which is Yeah, soSwyx [00:54:35]: Probably enough for people because you have to cut to the next scene anyway, right?Anastasis [00:54:40]: Yeah, it's not, it's not the ideal game experience if you have to restart every few minutes. So I think. But, I think it's. Yeah, for certain kinds of game experiences, you can work around it.

Meta and Snap both want to get on your face. The Verge's Victoria Song and Jay Peters tried out all the new hardware: Specs, audio-only Ray Bans, and Meta VR. Today, they join guest host David Imel to talk about how these new smart glasses feel, both physically and emotionally. Further reading: Meta's next VR device isn't a headset — it's glasses Meta ditches the camera on its newest smart glasses I wore Snap's $2,200 smart glasses Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Meta unveiled $1,299 VR Glasses, $349 camera-free Ray-Ban Audio glasses, and a keychain Muse Charm gadget, plus Ray-Ban Display upgrades. Anthropic's Claude agents found a CRISPR-like enzyme system in its biolab. OpenAI's agents hacked an Australian government site hunting data. Meta debuts Meta VR Glasses, a ~100g VR headset with an external compute pack, three-hour battery, and ~2.5K resolution per eye, coming spring 2027 for $1,299 (Bloomberg) The Verge goes hands-on with the Meta VR Glasses, calling them a lighter, easier-to-live-with take on Vision Pro-style computing — from VR-enhanced Avengers screenings to a surprisingly usable virtual keyboard (The Verge) Meta unveils Ray-Ban Meta Audio, its first pair of glasses without cameras, offering up to 12 hours of battery life, starting at $349 and shipping October 13 (Bloomberg) Meta Ray-Ban Display glasses add holographic-avatar video calls, voice-guided transit directions, and a new Explore app for finding compatible programs (Engadget) Meta previews Muse Charm, a palm-sized Tamagotchi-like device for using Muse, with a ~2" OLED screen, front and rear cameras, and 5G, on sale by the end of 2026 (Bloomberg) Meta's Muse Charm houses a cute digital avatar named Jolly and lets you start talking to Muse with a tap of the fingerprint sensor — no phone unlock required (TechCrunch) Muse agents are getting their own email addresses, a live video-call mode, and the ability to control your Mac (The Verge) Anthropic's biolab made a discovery it's comparing to Crispr (The Verge) OpenAI agents hacked an Australian government website in search for data (The New York Times) Subscribe to the ad-free feed.

Dan Moren of Six Colors joins the show this week! Meta's Muse has a zero-day vulnerability. Rat brains can power an AI model? Why are we hearing more about AI agents escaping their testing environments? And Meta's new VR glasses. Dan talks about a new zero-day exploit that affects Meta's Muse AI agent, which allows an app or terminal command that can impersonate the AI agent and easily gain access to users' messages, emails, and other sensitive data. Mikah is amazed at the Biological Computing Company's new AI video model that was built from patterns utilizing lab-grown rat neurons. Mikah walks through The Verge's report on why researchers can't simply air-gap AI agents that keep escaping test environments and hitting real-world targets. And Scott Stein of CNET joins the show live from Meta's Headquarters to share his hands-on impressions of Meta's new VR glasses that were unveiled at this year's Meta Connect event. Hosts: Mikah Sargent and Dan Moren Guest: Scott Stein Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit horizon3.ai/technews outsystems.com/twit framer.com/tnw

Carl Quintanilla, David Faber and Morgan Brennan explored stocks extending Wednesday's losses and long bond yields rising to levels not seen since 2004. A live report from Beijing as global markets watch developments surrounding the U.S.-China summit between Presidents Trump and Xi. Oracle shares fell sharply on a report which says the company sent a "Force Majeure" notice about a data center project. The anchors discussed Meta debuting new $1,299 VR glasses and a "Muse Charm" handheld device — and reacted to what CEO Mark Zuckerberg said on Joanna Stern's podcast about this month's launch of Meta's "Muse" AI agent. Also in focus: Crude oil and diesel prices rise; Starbucks to close 250 stores; Barry Diller withdraws his takeover bid for MGM Resorts; Aerospace and defense stocks in bear territory.Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Dan Moren of Six Colors joins the show this week! Meta's Muse has a zero-day vulnerability. Rat brains can power an AI model? Why are we hearing more about AI agents escaping their testing environments? And Meta's new VR glasses. Dan talks about a new zero-day exploit that affects Meta's Muse AI agent, which allows an app or terminal command that can impersonate the AI agent and easily gain access to users' messages, emails, and other sensitive data. Mikah is amazed at the Biological Computing Company's new AI video model that was built from patterns utilizing lab-grown rat neurons. Mikah walks through The Verge's report on why researchers can't simply air-gap AI agents that keep escaping test environments and hitting real-world targets. And Scott Stein of CNET joins the show live from Meta's Headquarters to share his hands-on impressions of Meta's new VR glasses that were unveiled at this year's Meta Connect event. Hosts: Mikah Sargent and Dan Moren Guest: Scott Stein Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit horizon3.ai/technews outsystems.com/twit framer.com/tnw

Dan Moren of Six Colors joins the show this week! Meta's Muse has a zero-day vulnerability. Rat brains can power an AI model? Why are we hearing more about AI agents escaping their testing environments? And Meta's new VR glasses. Dan talks about a new zero-day exploit that affects Meta's Muse AI agent, which allows an app or terminal command that can impersonate the AI agent and easily gain access to users' messages, emails, and other sensitive data. Mikah is amazed at the Biological Computing Company's new AI video model that was built from patterns utilizing lab-grown rat neurons. Mikah walks through The Verge's report on why researchers can't simply air-gap AI agents that keep escaping test environments and hitting real-world targets. And Scott Stein of CNET joins the show live from Meta's Headquarters to share his hands-on impressions of Meta's new VR glasses that were unveiled at this year's Meta Connect event. Hosts: Mikah Sargent and Dan Moren Guest: Scott Stein Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit horizon3.ai/technews outsystems.com/twit framer.com/tnw