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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.

We're venturing to West Texas to chat with Stephanie Rivas, General Manager at Wagner Noël Performing Arts Center and Vice President of International Entertainment Buyers Association (IEBA). With two decades of experience working in media, marketing, entertainment and performing arts, Stephanie tells us about her role with the venue and Legends Global, which manages the PAC. We learn about the Midland and Odessa market and the importance the venue has in providing arts programming to a huge part of the state – making it more accessible and equitable. We talk about her role on the board with IEBA and discuss the importance of conferences to career growth. Stephanie tells us about her career history from going to college at what is now Texas State University to beginning in broadcasting as a producer and anchor. Hear what tips she has for building relationships with local media and how you can help control the image and brand of your venue. Enjoy this great episode with interesting insight into “The Shining Star of West Texas” as well as excellent career advance and fun stories.Stephanie Rivas: Instagram | LinkedInWagner Noël Performing Arts Center: Facebook | Instagram | TikTok ––––––ADVENTURES IN VENUELANDFollow on Instagram, LinkedIn, Facebook, or X/TwitterLearn more about Event & Venue Marketing ConferenceMeet our team:Paul Hooper | Co-host, Booking, Branding & MarketingDave Redelberger | Co-host & Guest ResearchMegan Ebeck | Marketing, Design & Digital AdvertisingSamantha Marker | Marketing, Copywriting & PublicityCamille Faulkner | Audio Editing & MixingHave a suggestion for a guest or bonus episode? We'd love to hear it! Send us an email.

Society & Culture · Inquisitor Media

Friday is here!  We will first reflect on the legacy of AZ Senator Jon Kyl, who passed away yesterday. Then, Mark Van Buren, Ron Arenas and I will count down the Top 10 Burt Reynolds movies!

Big Thursday show for you today ! We start off the first hour with Ron Arenas and Janay Arenas talking about Hispanic Heritage Month. Janay has done some fun research and is excited to share it with all of you. Next Luke Arenas joins us as we welcome Jessica Moats. Jessica is the President of the Greater Tucson Christian Chamber of Commerce, among many other things that she is involved with. We're excited to sit down and learn more about her. Then, Luke and I sit down and discuss Picture Rocks Cooling Heating & Plumbing LLC. As the summer winds down, that HVAC system is still working hard for you. Luke will give you some tips on keeping that system in tip top shape.

Get ready for an action-packed Thursday morning!FIRST HALF: Ron Arenas and Luke Arenas take the microphones to talk MMA! Expect plenty of fight talk and lively discussion!SECOND HALF: Jeff Saunders joins Ron to tackle FOOTBALL and the upcoming El Tour de Tucson!Grab your coffee, join the conversation, and start your Thursday with us!

In today's episode of The Quiz, we're testing your knowledge on everything from historic ballparks to the early origins of professional football. Can you answer these? Iconic Arenas: Hoops superstars spent decades electrifying packed arenas across North America. Which professional basketball franchise hosted rivals at The Spectrum? Gridiron Venues: Landmark stadiums often undergo corporate name changes, but their original titles endure. Which professional football team played home games at Joe Robbie Stadium? Football Origins: The early days of gridiron history feature storied venues and pioneering clubs. Which squad took the field at Triangle Park for the inaugural game in NFL history? Play. Share. Listen, with host of FOX Across America and FOX News Saturday Night, Jimmy Failla. Learn more about your ad choices. Visit podcastchoices.com/adchoices

We're dancing our way to the Live Music Capital of the World – Austin, Texas to chat with Chelsea Masler, Marketing Director at Messina Touring. Whether she's working on campaigns for major stadium tours like Ed Sheeran or strategically rolling out a legendary underplay tour for Phoebe Bridgers, Chelsea works with the Messina Touring team to act as an extension of management for their artist roster. We talk about some of her tasks from arranging radio campaigns, strategizing marketing content, working closely with venues, and how they dive into fan communities to understand what resonates to ensure tours remain authentic to fans. Learn what it's like launching a tour from her perspective and how they use data to identify trends while also understanding special fan connections that the data can't capture. Chelsea tells us about her industry path from writing for a music blog and joining the event board in college, starting at Oracle Arena as an intern and working her way up, time she spent at Goldenvoice and Facebook, all the way up to her current role. You're bound to love this fun episode that's packed full of interesting stories, perspective, and laughs.Chelsea Masler: Instagram | LinkedInMessina Touring: Instagram | Facebook | LinkedIn ––––––ADVENTURES IN VENUELANDFollow on Instagram, LinkedIn, Facebook, or X/TwitterLearn more about Event & Venue Marketing ConferenceMeet our team:Paul Hooper | Co-host, Booking, Branding & MarketingDave Redelberger | Co-host & Guest ResearchMegan Ebeck | Marketing, Design & Digital AdvertisingSamantha Marker | Marketing, Copywriting & PublicityCamille Faulkner | Audio Editing & MixingHave a suggestion for a guest or bonus episode? We'd love to hear it! Send us an email.

Canada returns fire in the ongoing trade war with the U.S.. Businesses are already raising prices in response. And that will hit consumers right in their wallets.And: The air in local hockey arenas is filled with more than the shouts of excited parents. The Canadian Medical Association says carbon monoxide is an invisible threat on the ice.Also: Authorities in France are trying to get to the bottom of a brazen art heist at the Renoir Museum on the French Riviera.Plus: Questions for Bombardier, sanctions on goods from Israeli settlements, the air at Ground Zero, and more.

La mañana de este lunes 31 de agosto de 2026 comenzó con el sol abriéndose paso en el puerto y un pronóstico primaveral de 17 ºC de máxima . Sin embargo, la calma en Ritoque FM duró poco: Francisco Marambio tuvo que abrir la transmisión solo porque Nicolás Argyros llegó tarde, excusándose bajo el pretexto de que se estaba "acicalando" en su camarín como un tierno gatito pasándose la lengua por la patita . Con una taza "prestada" de Radio Beethoven en mano , la dupla encendió los micrófonos para dar inicio a un capítulo inolvidable de Ciudad Abierta. La pauta explotó al recordar las "mañas" del equipo del fin de semana . Nicolás desclasificó una genialidad de supervivencia de Michel "Tata" Morales: un día, al entrar al baño de producción, descubrió que la cadena del inodoro no funcionaba . Al levantar la tapa del estanque, descubrió que "Tata" Michel había improvisado un enfriador de bebidas (cooler) dentro del agua para mantener el trago helado, asegurando que era una técnica "aprendida en la guerra" . Entre risas, recordaron cómo criaron a su "hijo adoptivo" Simón Valdebenito (hoy una fulgurante estrella televisiva) , revelando que el propio Michel lo inició en el alcohol dándole cajitas de vino diluidas con agua tibia bajo la excusa de calmarle el dolor de muelas cuando le estaban saliendo los dientes . La música de Fito Páez dio pie a una desternillante sesión de "chisme de rockstar" . Desmenuzaron el enredado historial amoroso del trasandino: desde Fabiana Cantilo saliendo con él por despecho porque Charly García no le prestaba atención , hasta su divorcio de Cecilia Roth para irse con una jovencísima Celeste Cid que lo pateó a los 20 minutos por otro músico . Dolido, Fito filmó una película por despecho, contrató a Cecilia Roth como protagonista y a Gael García Bernal como galán, solo para que Roth y Bernal terminaran besándose apasionadamente en sus narices mientras Fito tenía que partir a rescatar a Celeste Cid de una sobredosis . "¡Todos somos Fito!", decretaron en el estudio . En el ámbito lúdico, Nicolás se lució adivinando con asombrosa precisión la estatura de sus auditores y colaboradores en un juego de adivinación que dejó a Carla Bossi (165 cm) acusándolo de brujería . Entre los datos, saludaron a Cristian Pimpollo y su esposa Glenis (ambos de 165 cm), quienes enviaron fotos disfrutando de un abundante plato de carne a la española y pollo con champiñones en el Rincón de Martín . Nicolás aprovechó para lanzar su polémica teoría: "las parejas que miden exactamente lo mismo están destinadas al éxito porque se van mimetizando" . Para cerrar, la dupla enfrentó con hidalguía la crítica de Aníbal Arenas, un auditor que en un grupo de Facebook reclamó que el programa era "90% charla y 10% música" . Marambio y Nicolás defendieron con pasión la radio de contenidos: "Poner música es tan simple como abrir Spotify; la gracia del medio es conversar sobre ella y conectar con las personas" . Y como broche de oro, repasaron las noticias internacionales más delirantes: desde el molusco "Papapoya", el caracol que ganó la carrera de España arrastrando una lata de espárragos de 230 gramos , hasta la orden de Donald Trump que obligó a Google Maps a cambiar el nombre del Lago Ontario por "Lago América" para los usuarios estadounidenses . ¿Cómo sonará el himno "We Are The World" que grabarán con los auditores para el aniversario del 30 de octubre? ¿Lograrán los hinchas de Santiago Wanderers su pantalla gigante para ver la final contra el Real Madrid? ¡Haz clic en el podcast y ponte los auriculares para un lunes de locura total!

No agenda. No specific topic. Just your questions.Harry Trades joins me for a true Sorare AMA, where we're handing the show over to the community and answering whatever you want to throw at us.Sorare 27 strategy, Pro Hot Streaks, Arenas, collecting, buying and selling cards, our own galleries, content creation, the future of Sorare — it's all fair game.Drop your questions in the chat and we'll get through as many as we can!Connect with Harry Trades:

Mark hits two sold-out Detroit arenas in one weekend — Rush and Ed Sheeran back to back — then digs deep for four songs that still don't suck this week.

A fascinating conversation with esteemed Kansas City sports architect Tom Waggoner. The Wichita native and KSU grad has worked at K.C.'s top firms as well as run his own, and also authored the 2022 book “Designed in Kansas City” beautifully tells the story of the city's rise as the hub of the industry. Informative and enjoyable!

Comedian Leanne Morgan sits down with Bobby to talk about the long road from small comedy gigs to selling out arenas and landing her own Netflix series. She shares the advice Jerry Seinfeld gave her about success, what it was like beating Lainey Wilson on Family Feud, and the moment she realized her career had reached a completely different level. Leanne also opens up about 34 years of marriage, raising a family while chasing comedy, going viral later in life, and getting renewed for a second season of her Netflix show. Plus, she reveals her five favorite comedians of all time and reflects on the people who helped shape her sense of humor along the way. Watch The BobbyCast on Netflix! Follow on Instagram: @TheBobbyCast Follow on TikTok: @TheBobbyCastSee omnystudio.com/listener for privacy information.

We're off to “The Land” to chat with Carrie Samek, Vice President of Event & Media Marketing at Rocket Arena and Cleveland Cavaliers in Cleveland, Ohio. After learning about the arena and Carrie's role with the venue and team, we chat through what it was like curating an exhibit around the 10 year anniversary of the Cav's iconic 2016 NBA Championship, and the challenges of joys that came along with it. Carrie tells us about how they planned the arena's 30th anniversary two years ago, which included a performance by Diplo and a drone show. We talk about her fun career path, from cold emailing the creator of Warped Tour to working phones at ClearChannel to touring with The Black Eyed Peas to her time with Belkin Productions and Live Nation and ultimately her current role. Whether you know her as Carrie, Wizzysis, Queen of Drones, or museum curator – to know Carrie is to love her and we know you'll love this episode all about someone who has helped shape some of Northeast Ohio's biggest moments.

Every weekday, award-winning columnist Dejan Kovacevic delivers three ‘Double Shot' shows as a supplement to the morning ‘Daily Shot' of Steelers, Penguins and Pirates podcasts!  Video versions streaming live on YouTube starting at 3 p.m.! Eastern Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

El pasado viernes el ministro de Justicia marroquí,  Abdellatif Ouahbi, reivindicó el “derecho histórico y geográfico” que presuntamente tiene su país sobre las ciudades de Ceuta y Melilla. No es algo nuevo, la reclamación de estas dos ciudades forma parte de lo que se conoce como “Gran Marruecos” un proyecto geopolítico que aspira a reunir bajo la soberanía del reino alauí un amplio territorio del noroeste de África. El primero en formularlo fue Allal El Fassi, fundador del Partido Istiqlal que, en la primera mitad del siglo XX, articuló esa idea como bandera del nacionalismo marroquí. Para sus defensores, el fin de los protectorados francés y español en 1956 debía ser solo el primer paso hacia la recuperación de unas tierras que consideran históricamente marroquíes. El fundamento de esta reivindicación se apoya sobre las grandes dinastías medievales. Almorávides, almohades y benimerines proyectaron desde el actual Marruecos su poder sobre buena parte del Magreb, y en algunos periodos alcanzaron incluso el África subsahariana y la península ibérica. A esa continuidad territorial se sumaba el vínculo religioso y político de la baya, el juramento de fidelidad que las tribus prestaban al sultán. Los partidarios del Gran Marruecos toman esos lazos como prueba de una soberanía previa que trascendía las fronteras trazadas por las potencias coloniales. El mapa original de las reivindicaciones incluía el Sáhara Occidental, la totalidad de Mauritania, franjas del oeste y suroeste de Argelia, el norte de Malí y, en el flanco septentrional, Ceuta, Melilla. Algunas corrientes más exaltadas han llegado incluso a incluir a las islas Canarias, aunque esto nunca se ha convertido en una reivindicación oficial. Tras la independencia el nuevo reino intentó dar contenido práctico a ese ideario. La guerra de Ifni en 1957 enfrentó a Marruecos con España en el sur, la guerra de las Arenas en 1963 les enfrentó con la recién independizada Argelia por la delimitación fronteriza. En Rabat tardaron años en reconocer a Mauritania, a la que tenían por parte de su territorio. El episodio más conocido fue en 1975 con la Marcha Verde, la movilización de cientos de miles de civiles hacia el entonces Sáhara español. Eso precipitó la retirada de España y la posterior ocupación marroquí del territorio disputándoselo a la población local representada por el Frente Polisario. Hoy Marruecos controla la mayor parte del Sáhara Occidental. Esta política de hechos consumados ha ido ganando apoyo internacional. Estados Unidos reconoció la soberanía marroquí en 2020 y España dos años más tarde. El Frente Polisario y Argelia, su principal valedor, mantienen su rechazo y reclaman un referéndum de autodeterminación. El otro frente que tienen abierto es el de Ceuta y Melilla. No se trata de una amenaza militar inminente, sino de una reclamación de fondo que en Rabat no abandonan y que activan cuando les conviene para obtener concesiones o presionar a España. No importa que ambas ciudades sean españolas desde hace 500 años y que la comunidad internacional las reconozca como tales. Es en ese punto es donde se inscribe el asalto del pasado 30 de julio. Para tratar este tema, que tiene mucha miga y requiere tratarlo con calma y conocimiento, vuelve a La ContraCrónica Julio González, un analista muy fino que lleva unos meses sin pasar por aquí. #FernandoDiazVillanueva #ceuta #marruecos Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Meet Hector Arenas, Venue Operations Manager at the FIFA World Cup 2026 in Monterrey.Back home in Mexico, he'd built a solid career as an industrial engineer with an MBA, ten years of experience, and a general manager role at a lending company, complete with the apartment, the car and the stable life. Then COVID hit, and he and his wife made a decision to leave their comfort zone and chase their dream. In July 2023, they moved to Australia so Hector could study a Master Of Business (Sport Management) at Deakin University.Four months later, on a tip from his university mentor, he landed a three-month casual events contract at Melbourne Park, and turned it into three straight Australian Opens. From there, he applied cold to FIFA, got knocked back once for being "not experienced enough," then came back a year later to win a Venue Operations Manager role at Estadio Monterrey, delivering matches at the biggest event on the planet in his home country.Lots to look out for in this episode, including how to break into sport when you've got zero industry network in a new country, why "say yes to everything" opened every door, and how the engineering discipline of doing more with less transferred straight into running a World Cup venue.We cover:(03:13) - Interview starts(09:26) - Quick Fire Questions(08:08) - What Hector's career looked like prior to moving to Australia(20:31) - Opportunities to work in sport in Mexico(22:14) - The decision behind moving from Mexico to Australia(25:31) - What skills from Hector's engineering career were transferable to the sport industry(27:05) - Hector's first role in sport at the Australian Open(31:21) - Favourite moment working at the Australian Open(33:44) - How Hector joined SportsGrad(37:14) - How networking has helped Hector's career(39:48) - How to build your network when you arrive in a country for the first time(40:48) - How Hector found his role at the FIFA World Cup(45:14) - Hector's journey from watching Mexico at the FIFA World Cup in 2022 to working at the 2026 World Cup(46:47) - What a match day in Hector's role looked like (55:51) - Favourite moments working at the FIFA World Cup(01:07:33) - How to land a role in sport events and operations in the next 30 days(01:08:45) - Biggest Pinch Me moment working in sport(01:13:49) - What life would look like if not a career in sport(01:14:48) - Hector's question for next guestIf you liked this ep, give these a go next:#356: Career journey of FIFA World Cup Commentator David Basheer#357: From International Student to Major League Soccer with Adam Ferreira (Vancouver Whitecaps)#358: Sports Marketing in the Premier League and the MLS with Sunny Dhillon (Seattle Sounders)Want a job in sport? Click here.Follow SportsGrad on socials: LinkedIn | Instagram | TikTokFollow Reuben on socials: LinkedIn | Instagram | TikTokThanks for listening, much love! Hosted on Acast. See acast.com/privacy for more information.

Ross Dellenger, Yahoo! Sports Senior College Football reporter, joins Sports Business Radio to discuss the ever-changing college sports landscape.We examine the latest developments with the Protect College Sports Act, discuss the likelihood of the Act being passed and contemplate what the college sports landscape may look like going forward. Will the Power 5 conferences break away from the NCAA? What will happen to women's and Olympic sports in the future? How will NIL continue to evolve and impact athletes? In our headlines of the week segment, we cover the stunning sale of the NBA's Los Angeles Lakers and the many layers to that story. LISTEN to Sports Business Radio on Apple podcasts or Spotify podcasts. Give Sports Business Radio a 5-star rating if you enjoy our podcast. Click on the plus sign on our Apple Podcasts page and follow the Sports Business Radio podcast. WATCH SBR interviews by going to the sports business hub on Yahoo Sports and Yahoo Finance at https://sports.yahoo.com/sports-business/ or our YouTube channel at https://www.youtube.com/@sportsbusinessradiopodcast. This week's edition of Sports Business Radio is presented by Boingo Wireless. Teams like the LA Clippers, Atlanta Hawks, Chicago Bears and San Diego Padres trust Boingo to connect their stadiums and arenas with cutting-edge 5G and Wi-Fi.From mobile ticketing to security cameras to kiosks, connect every piece of stadium technology with Boingo's converged wireless networks. As you plan for the future of your stadium, make 5G part of your gameplan and choose Boingo Wireless as your trusted connectivity partner. Learn more by downloading Boingo's free 5G Playbook for Stadiums & Arenas. Head to boingo.com/5Gstadium to get your copy. Sports Business Radio is produced by Bryan Griggs at Griggs Productions dot com #CollegeSports #CollegeFootball #ProtectCollegeSportsAct #RossDellenger Learn more about your ad choices. Visit megaphone.fm/adchoices

Jam Hines & Stephen Gillaspie break down four prospects who should be monitored for draft contention in the 2027 NBA Draft Cycle!Intro- 0:00Tyran Stokes- 4:56Alijah Arenas- 41:54Pryce Sandfort- 58:37Colby Garland- 1:16:30Outro- 1:23:59Draft Guide and Merchandise: noceilingsnba.bigcartel.com Podcast: https://podcasts.apple.com/us/podcast... Written work: noceilingsnba.com Twitter: @NoCeilingsNBA YouTube: / @noceilingsnba

Jam Hines & Stephen Gillaspie break down four prospects who should be monitored for draft contention in the 2027 NBA Draft Cycle!Intro- 0:00Tyran Stokes- 4:56Alijah Arenas- 41:54Pryce Sandfort- 58:37Colby Garland- 1:16:30Outro- 1:23:59Draft Guide and Merchandise: noceilingsnba.bigcartel.com Podcast: https://podcasts.apple.com/us/podcast... Written work: noceilingsnba.com Twitter: @NoCeilingsNBA YouTube: / @noceilingsnba

Join us on the left side of the “Michigan mitten” as we head to Grand Rapids to chat with Hannah Flynn, Communications Manager with Legends Global, which manages Van Andel Arena, DeVos Performance Hall, DeVos Place, newly opened Acrisure Amphitheater, and Amway Stadium (opening Spring 2027). As a passionate social media and pop culture guru, we dive into the details of Hannah's role, the structure of their department, and learn a bit about each of the venues. We talk with her about collaborating with local businesses and hear tips about pitching ideas and some examples of fun promotions. Known for dressing up as artists coming to their venues for TikTok videos, Hannah talks about their approach to following social trends and how to discover new ideas. We talk about how she got into live events as well as the creation of her concert social account (@hangoestoaconcert), which has evolved from providing tips for going to concerts to advice on joining the industry. This is a fun episode that's sure to spark some ideas, give you some accounts to follow, and (for those of you not already in the industry) may just inspire you to dive in. Hannah Flynn: Instagram | TikTok | LinkedIn Van Andel Arena: Instagram | Facebook | TikTok ––––––ADVENTURES IN VENUELANDFollow on Instagram, LinkedIn, Facebook, or X/TwitterLearn more about Event & Venue Marketing ConferenceMeet our team:Paul Hooper | Co-host, Booking, Branding & MarketingDave Redelberger | Co-host & Guest ResearchMegan Ebeck | Marketing, Design & Digital AdvertisingSamantha Marker | Marketing, Copywriting & PublicityCamille Faulkner | Audio Editing & MixingHave a suggestion for a guest or bonus episode? We'd love to hear it! Send us an email.

Anthony Rizzo, World Champion with the Chicago Cubs and MLB first baseman for 14 seasons (with the Padres, Cubs & Yankees), joins Sports Business Radio for a conversation. Rizzo will be part of the Netflix coverage for the Field of Dreams game on August 13 matching the Philadelphia Phillies against the Minnesota Twins. Coverage starts at 6:30pm ET on Netflix. Rizzo discusses his MLB career, the memorable Cubs World Series win in 2016, his Anthony Rizzo Foundation whose mission is to provide direct and financial support to children and their families who are battling cancer, what he is doing now post baseball career and his excitement for making his first trip to the Field of Dreams ballpark in Iowa as part of Netflix's broadcast team. LISTEN to Sports Business Radio on Apple podcasts or Spotify podcasts. Give Sports Business Radio a 5-star rating if you enjoy our podcast. Click on the plus sign on our Apple Podcasts page and follow the Sports Business Radio podcast. WATCH SBR interviews by going to the sports business hub on Yahoo Sports and Yahoo Finance at https://sports.yahoo.com/sports-business/ or our YouTube channel at https://www.youtube.com/@sportsbusinessradiopodcast. This week's edition of Sports Business Radio is presented by Boingo Wireless. Teams like the LA Clippers, Atlanta Hawks, Chicago Bears and San Diego Padres trust Boingo to connect their stadiums and arenas with cutting-edge 5G and Wi-Fi.From mobile ticketing to security cameras to kiosks, connect every piece of stadium technology with Boingo's converged wireless networks. As you plan for the future of your stadium, make 5G part of your gameplan and choose Boingo Wireless as your trusted connectivity partner. Learn more by downloading Boingo's free 5G Playbook for Stadiums & Arenas. Head to boingo.com/5Gstadium to get your copy. Sports Business Radio is produced by Bryan Griggs at Griggs Productions dot com. #MLB #AnthonyRizzo #Cubs #FieldofDreams #Netflix Learn more about your ad choices. Visit megaphone.fm/adchoices

En este episodio analizamos cómo ha cambiado el entorno de negocios en Venezuela tras el proceso de apertura económica y las necesidades urgentes de reconstrucción.A pesar del impacto en las proyecciones y de las prioridades inmediatas del mercado, las oportunidades no han desaparecido; han evolucionado. Te explico en detalle las cuatro arenas clave donde empresas, inversionistas, emprendedores y cadenas de suministro pueden enfocar sus estrategias para competir de manera efectiva en el entorno actual:Recuperación de la demanda: Prioridades de consumo y segmentos en crecimiento.Nuevos actores en el mercado: Mayor rivalidad y llegada de nuevos competidores.Transformación de la experiencia: Cómo adaptar la propuesta de valor para clientes más exigentes.La arena de la reconstrucción: Infraestructura, logística, financiamiento y servicios B2B en la nueva dinámica del país.Haz el Test de Habilidades para Competir: https://up9gt9u6u2z.typeform.com/to/Y213pIkYAl completar este test, podrás identificar tus fortalezas y áreas de oportunidad en habilidades clave que te permitirán aportar valor y ayudar a la competitividad de la empresa u organización, sin importar tu rol o función dentro de ella.

IT'S FIGHT WEEK... Well, Sort Of!This week on the **We're Talking Sports Podcast**, Will and Ron step into the cage with special guest **Luke Arenas** for an action-packed conversation all about **MMA**!We'll break down the biggest fights, rising stars, the current state of the sport, dream matchups, and so much more. Whether you're a longtime UFC fan or just getting into mixed martial arts, you won't want to miss this episode.**Join Will, Ron, and Luke Arenas** for a fun, fast-paced discussion filled with great insight, laughs, and plenty of fight talk!**Who's your favorite MMA fighter of all time?** Let us know in the comments and tune in for the conversation.

On today's show we'll be talking some high school football, as the start of the season is getting close. Join Ron Arenas and  Luke Arenas as we welcome Tucson High Football Coach Zachary Neveleff. Coach Zach will tell us about the football program - where it's been and where it's headed. Then Ron and Luke will talk about the most important thing on these hot summer days......your air conditioner ! Luke always has helpful tips and insight to help you keep cool all summer long.

Bob and Monét discuss Bob's hair update, the meaning of "bi-monthly," and whether Monét can be nice to Bob for 10 full seconds. They also debate whether gay men being into sports is weird, whether the response to the Knicks' win means it's time to abolish straight men, and how you would confirm a man's heterosexuality. Plus, they rate arena names from around the country, revisit feedback on the BoMo presidential palette with a check-in from Kim Chi, discuss Bob's new take on The Blind Side, and see if Monét can guess the plot of Forrest Gump.

This week we sit down with Christian artist Forrest Frank — live from the tour bus — to talk about what it looks like to steward massive success while keeping your heart fully surrendered to God. Forrest opens up about eight years of grinding before his breakthrough, how he stopped sneaking Jesus into his music and started giving him every breath, and why the surrendered life is available to everyone — not just the people in the arena. This one will leave you fired up!

This week we sit down with Christian artist Forrest Frank — live from the tour bus — to talk about what it looks like to steward massive success while keeping your heart fully surrendered to God. Forrest opens up about eight years of grinding before his breakthrough, how he stopped sneaking Jesus into his music and started giving him every breath, and why the surrendered life is available to everyone — not just the people in the arena. This one will leave you fired up!

Journey with us to the Aloha State as we visit Hawaii and talk with Barb Saito, President of Aloha Group International Inc., who is based in the capital city of Honolulu on the island of O'ahu. Barb, who has 45 years of experience in the industry, supports concert promoters by consulting and assisting with financial and logistical challenges that come with promoting shows in Hawaii. She also works a lot with Asian artists who often do fan club flyaway events in the area. We chat through the many benefits of routing shows to Hawaii and learn about how they navigate challenges in keeping costs low and making adjustments to tours, using local vendors and shipping gear to make the finances work. Barb tells us about her start in live events, stage managing for plays in high school and ultimately getting a job as a book keeper with legendary concert promoter and DJ, Tom Moffatt. She shares memories from early shows and talks about what it was like breaking barriers as a woman handling settlements and production in the 80s and 90s. We also talk about her volunteer work with Hawaii Events Coalition, a group which formed during the pandemic to support overall live event business in the state. Enjoy this fun, fascinating episode filled with aloha, a love of live events, and amazing stories. Barb Saito: LinkedIn | Email Aloha Group International: Facebook | Instagram | Twitter/X ––––––ADVENTURES IN VENUELANDFollow on Instagram, LinkedIn, Facebook, or X/TwitterLearn more about Event & Venue Marketing ConferenceMeet our team:Paul Hooper | Co-host, Booking, Branding & MarketingDave Redelberger | Co-host & Guest ResearchMegan Ebeck | Marketing, Design & Digital AdvertisingSamantha Marker | Marketing, Copywriting & PublicityCamille Faulkner | Audio Editing & MixingHave a suggestion for a guest or bonus episode? We'd love to hear it! Send us an email.

Host Jesse Jackson welcomes Dallas sportswriter Tim Cowlishaw to discuss why Dallas teams are leaving the American Airlines Center area and the impact on fans, then shifts to music and Tim's Springsteen origin story. Tim recounts growing up between New Jersey and Texas, early influences like musicals and the Beatles, and discovering Bruce via a 1974 Columbia “Say Hello to Last Year's Genius” radio ad. He describes a canceled 1974 Sportatorium show, then seeing Springsteen up close at The Bottom Line in 1975 and attending about 30 shows, including a 1984 Chicago trip on the Born in the U.S.A. tour. Tim shares views on setlists and political talk on recent tours, praises The Wild, the Innocent & the E Street Shuffle and the book Tonight in Jungland, reflects on Bruce's work ethic, and discusses favorites like Taylor Swift, Radiohead, and The National, plus Cowboys and writing life. https://a.co/d/04IjQ10n 00:00 Welcome to the Podcast 01:02 Dallas Teams Leaving Downtown 04:40 From Tulsa to Texas Roots 06:32 King Biscuit Bruce Discovery 08:19 First Shows and Close Calls 13:53 Chasing Tours and Great Seats 19:56 Setlists and Political Talk 21:17 Favorite Album and Studio Lore 24:24 Books and Nebraska Film Debate 25:31 Selling Out Debate 26:00 Springsteen Work Ethic 28:16 Columns And Retirement 29:43 Mavs Ownership Rants 32:50 Taylor Swift Live 35:50 Radiohead Berlin Trip 38:54 Cowboys Season Outlook 40:40 Around The Horn Farewell 41:15 Thunder Road Mary 43:11 Backstreets Terry Mystery 45:13 Wrap Up And Thanks Learn more about your ad choices. Visit megaphone.fm/adchoices

Singer-songwriter, producer and filmmaker Matt Costa joins the 805 Beer Cold Beer Surf Club with Conner Coffin for a conversation about music, surfing, filmmaking, and all the unexpected moments that helped shape his life. Costa shares how he is inspired by surf trips when coming up with inspiration for surf films like Burn, A Brokedown Melody, and other films with the Moonshine Conspiracy with Jack Johnson and Emmett Malloy. He opens up about his upbringing in Southern California, and the skateboarding injury that closed the door on his professional skateboarding career, but led to his music career. Matt also discusses previous collaborations with Jack Johnson and Brushfire Records, touring for massive crowds, and hints at a new cross-country passion project. New episodes drop every month. Follow, subscribe, and join the Club now. Follow Conner Coffin. Follow Matt Costa Follow 805 Beer. Get the latest 805 Beer content, the gear, and of course, the beer. Join the conversation, follow the league, and stay updated on all things WSL.

As a kid I always wondered where do I belong?Today we meet Mario Elías and we're talking about the queer book that saved his life: The Color of Summer by  Reinaldo Arenas.Mario Elías is a multidisciplinary artist of Cuban and Syrian descent based in Chicago. His work spans fiction, nonfiction, photography, painting, and printmaking. His book Queering the Male Gaze reimagined masterpieces of the classical and modern canon through essays and self-portraiture, exploring often-overlooked queer and female figures who shaped them. He is the founder of The KindaSuper Project, a philanthropic initiative offering free photography and video services to underserved communities. His debut novel Beloved Disciples just came out earlier this spring.The Color of Summer is a Rabelaisian tale of survival by wits and wit and ultimately a powerful and passionate story about the triumph of the human spirit over the forces of political and sexual repression. This novel is the fulfillment of author Reinaldo Arenas' life's work, the Pentagonía, a five-volume cycle of novels that is his "secret history of Cuba."Reinaldo Arenas was born in Cuba in 1943. In 1980, he was one of 120,000 Cubans who arrived in the United States on the Mariel boatlift. Arenas settled in New York where he lived until his death from AIDS ten years later. His extraordinary memoir, Before Night Falls, was named one of the fourteen "Best Books of 1993" by the editors of The New York Times Book Review and has now been made into a major motion picture.Connect with Mario Elíaswebsite: kindasuper.cominstagram: @kindasupermarioOur BookshopVisit our Bookshop for new releases, current bestsellers, banned books, critically acclaimed LGBTQ books, or peruse the books featured on our podcasts: bookshop.org/shop/thisqueerbookBuy your copy of The Color of Summer: https://bookshop.org/a/82376/9780140157192Buy your copy of Beloved Disciples: https://bookshop.org/a/82376/9781612943374Become an Associate Producer!Become an Associate Producer of our podcast through a $20/month sponsorship on Patreon! A professionally recognized credit, you can gain access to Associate Producer meetings to help guide our podcast into the future! Get started today: patreon.com/thisqueerbookCreditsHost/Founder: John ParkerExecutive Producer: Jim PoundsAssociate Producers: Archie Arnold, K Jason Bryan and David Rephan, Bob Bush, Natalie Cruz, Troy Ford, Jonathan Fried, Joe Perazzo, Bill Shay, Sean Smith, and Karsten VagnerPatreon Subscribers: Stephen D., Stephen Flamm, Ida Göteburg, Thomas Michna, Sofia Nerman, and Gary Nygaard.Creative and Accounting support provided by: Gordy EricksonQuatrefoil LibraryQuatrefoil has created a curated lending library made up of the books featured on our podcast! If you can't buy these books, then borrow them! Link: https://libbyapp.com/library/quatrefoil/curated-1404336/page-1Real quick: yes, you too can be a guest on our podcast! If you have a queer book that had a life-saving impact for you, then please visit thisqueerbook.com and fill out the form on the homepage! Looking forward to hearing back from you!Support the show

Micky Lawler, Commissioner for Unrivaled Basketball, the successful pro women's basketball 3 on 3 league, joins Sports Business Radio. Lawler is the former President of the WTA (Women's Tennis Association) and she worked for over two decades overseeing the tennis business at Octagon. Lawler shares how Unrivaled Basketball has attracted many of today's biggest women's basketball stars including Paige Bueckers, Angel Reese and Kelsey Plum. The league has attracted blue-chip sponsors such as Sephora and State Farm. Lawler provides unique insights about the future of Unrivaled Basketball, whether the league is complimentary or a competitor of the WNBA and the growth areas for women's sports. This is a fascinating conversation with one of the most seasoned executives in women's sports. LISTEN to Sports Business Radio on Apple podcasts or Spotify podcasts. Give Sports Business Radio a 5-star rating if you enjoy our podcast. Click on the plus sign on our Apple Podcasts page and follow the Sports Business Radio podcast. WATCH SBR interviews by going to the sports business hub on Yahoo Sports and Yahoo Finance at https://sports.yahoo.com/sports-business/ or our YouTube channel at https://www.youtube.com/@sportsbusinessradiopodcast. This week's edition of Sports Business Radio is presented by Boingo Wireless. Teams like the LA Clippers, Atlanta Hawks, Chicago Bears and San Diego Padres trust Boingo to connect their stadiums and arenas with cutting-edge 5G and Wi-Fi.From mobile ticketing to security cameras to kiosks, connect every piece of stadium technology with Boingo's converged wireless networks. As you plan for the future of your stadium, make 5G part of your gameplan and choose Boingo Wireless as your trusted connectivity partner. Learn more by downloading Boingo's free 5G Playbook for Stadiums & Arenas. Head to boingo.com/5Gstadium to get your copy. Sports Business Radio is produced by Bryan Griggs at Griggs Productions dot com #UnrivaledWBB #WNBA #WomensBasketball Learn more about your ad choices. Visit megaphone.fm/adchoices

In this week's episode of the Wade Keller Pro Wrestling Post-show from five years ago (7-16-2021), PWTorch editor Wade Keller and PWTorch contributor Brandon LeClair from PWTorch discussed WWE Friday Night Smackdown with live callers and emails with a focus on the return of fans in the stands and thoughts on how they were received. Also, final Money in the Bank, the return of Finn Balor, Bianca Belair defending against Carmella, and more. They were joined by former PWTorch assistant editor James Caldwell who talked about what it was like in the arena in Houston as the first on-site correspondent of the post-ThunderDome era.Become a supporter of this podcast: https://www.spreaker.com/podcast/wade-keller-pro-wrestling-post-shows--3275545/support.

Friday Wake Up! | Today's LineupKick off your Friday morning with an incredible lineup of local leaders, industry experts, and compelling stories. Here is what we have in store for you today on Live The Dream:Special Guests:Shaun McCluskeyRep. David SchweikertMonica Clark Carlson – Tucson Crime Free CoalitionRon Arenas – Picture Rocks Cooling, Heating & Plumbing LLCSouthwest FlavorFeatured Stories:Ruben, the Ladies Man!Bill Maher Ruins NPR's ParadeA New Path Forward: Helping Veterans Transition into TruckingTune in and live the dream with us this morning!

We're off to the Midwest as we visit the city of Omaha, Nebraska and chat with Adam Straight, President & CEO of Metropolitan Entertainment & Convention Authority (MECA). Adam tells us all about MECA, which is a venue management company which manages city-owned properties including CHI Health Center Omaha (which includes an arena and convention center), Charles Schwab Field Omaha (which hosts the College World Series), and The RiverFront (72-acre urban green space along the Missouri River). We hear what makes each venue special and how their combined strength makes the city competitive when attracting events. Adam tells us about what makes Omaha special, trends he is seeing in the convention side of the industry, and we discuss the importance of sustainability with venues. We learn about Adam's history in the industry, which he started unconventionally as an electrician working sporting events at University of Maryland, eventually leading him to working at two of the top five convention centers in the country. Enjoy this episode which provides an interesting perspective of managing a diverse group of venues and is sure to add Omaha to your visit list. Adam Straight: LinkedIn MECA: Facebook | LinkedIn | X/Twitter ––––––ADVENTURES IN VENUELANDFollow on Instagram, LinkedIn, Facebook, or X/TwitterLearn more about Event & Venue Marketing ConferenceMeet our team:Paul Hooper | Co-host, Booking, Branding & MarketingDave Redelberger | Co-host & Guest ResearchMegan Ebeck | Marketing, Design & Digital AdvertisingSamantha Marker | Marketing, Copywriting & PublicityCamille Faulkner | Audio Editing & MixingHave a suggestion for a guest or bonus episode? We'd love to hear it! Send us an email.

How are lesser known comedians selling out arenas?... Open your books!

Church revitalization isn't simply about launching a new program or implementing a fresh strategy. Healthy church renewal begins much deeper. In this episode of Revitalize & Replant, Mark Clifton and Mark Hallock unpack five essential arenas of renewal that every church must address in order to move from decline to health and from maintenance to mission. Whether you're leading a struggling church, pursuing revitalization, or simply seeking ongoing renewal in a healthy congregation, these five areas provide a practical framework for lasting change. In This Episode Why every church needs continual renewal—not just declining churches The difference between renewal, revitalization, and replanting Why spiritual renewal must precede organizational change How relational health impacts church growth and outreach What it looks like to cultivate a genuine missional culture Why programs should serve the mission rather than become the mission How church structures can either accelerate or hinder ministry effectiveness The Five Arenas of Renewal 1. Spiritual Renewal — where everything begins 2. Relational Renewal —love restored among God's people 3. Missional Renewal — rediscovering why the church exists 4. Programmatic Renewal — aligning what we do with what God wants 5. Structural Renewal — building systems that support ongoing congregational health   Resources Mentioned Experiencing God by Henry Blackaby and Claude King Falling in Love with Jesus (Again) by David Jackson and Claude King The 2026 Replant Summit Connect With Us Revitalize & Replant is brought to you by the North American Mission Board to equip pastors and church leaders to lead healthy churches for the glory of God and the good of their communities. Learn more about church revitalization resources, training opportunities, and replanting initiatives at ChurchReplanters.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What happens when you finally say yes to the life that's been calling you even when the fear is real, and the path isn't clear?   In this episode of Someone Gets Me, Dianne A. Allen is joined by Canadian guitarist and musician Chris Eveland for a rich, honest conversation about what it really takes to leave behind a stable career and step fully into your passion. After 21 years on the floor at Ford Motor Company, Chris made the leap — no plan, no guarantee, just a belief that something more was possible.    Chris and Dianne explore the performing arts, personal sovereignty, and the courage it takes to stop living someone else's definition of success and start living your own. This episode is a reminder that the doors you walk through when you say yes to yourself are doors that never close.   Watch the Someone Gets Me Podcast as we talk about why Change is Good.   Did you enjoy this episode? Subscribe to the channel, tap the notification bell, and leave a comment!   You can also listen to the show on Spotify, Apple Podcasts, and Amazon Music.   Chris Eveland is a dynamic and versatile guitarist whose style emulates many genres. With a deep passion for music that began at a young age, Chris has spent over 35 years and north of 3000 live shows, honing his craft, developing a reputation for technical skill, emotive playing, and a unique sound that blends many of his influences. Chris has performed in Theaters, Festivals, Arenas all over North America and the UK as well. As a composer, he creates intricate, melodic guitar parts that resonate with many listeners and has him known as a go-to hired professional. Whether on stage or in the studio, Chris brings an infectious energy and technical precision that resonates with audiences and fellow musicians alike. Chris also has acquired an Artist endorsement deal with the Canadian guitar company Godin. In addition to performing, Chris has collaborated and toured with Sony BMG recording artist Aaron Walpole (3rd place Canadian Idol) and is currently working with a North American touring Abba tribute. Known for his improvisational skills and stage presence, he brings a fresh and exciting approach to every performance, leaving a lasting impact wherever he goes. Chris is currently performing, recording, and touring with SOS the Abba Experience, FyRe, John Milles Music, Sammi and the Boys, and is regularly hired as a fill-in for many bands in Ontario. Facebook: https://www.facebook.com/chrisevelandmusic/  Instagram: https://www.instagram.com/eveland5150/    How to Connect with Dianne A. Allen   Dianne A. Allen, MA is an intuitive mentor, speaker, author, ambassador, hope agent, life catalyst, and the CEO and Founder of Visions Applied. She has been involved in personal and professional development and mental health and addiction counseling. She inspires people in personal transformation through thought provoking services from speaking and podcasting to individual intuitive mentoring and more. She uses her years of experience coupled with years of formal education to blend powerful, practical, and effective strategies and tools for success and satisfaction. She has authored several books, which include How to Quit Anything in 5 Simple Steps - Break the Chains that Bind You, The Loneliness Cure, A Guide to Contentment, 7 Simple Steps to Get Back on track and Live the Life You Envision, Daily Meditations for Visionary Leaders, Hope Realized, and Where Do You Fit In?   Website: https://msdianneallen.com/ Instagram: https://www.instagram.com/dianne_a_allen/ Facebook: https://www.facebook.com/msdianneallen/ LinkedIn: https://www.linkedin.com/in/dianneallen/# Twitter: https://x.com/msdianneallen   Check out Dianne's new book, Care for the Neurodivergent Soul. https://a.co/d/cTBSxQv   Visit Dianne's Amazon author page. https://www.amazon.com/stores/author/B0F7N457KS   You have a vision inside to create something bigger than you. What you need is a community and a mentor. Personal mentoring will inspire you to grow, transform, and connect in new ways. The Someone Gets Me Experience could be that perfect solution to bringing your heart's desire into reality. You will grow, transform, and connect. https://msdianneallen.com/someone-gets-me-experience/   For a complimentary “Get to Know You” 30-minute call: https://visionsapplied.as.me/schedule.php?appointmentType=4017868   Join our Facebook: https://www.facebook.com/groups/someonegetsme   Follow Dianne's Facebook Page: https://www.facebook.com/msdianneallen   Email contact: dianne@visionsapplied.com   Dianne's Mentoring Services: https://msdianneallen.com/  

Join me as we welcomes Scott Tilley with TRAK Ranch as co-host — sharing the heart behind a place that connects people, animals, and the community.Joining the conversation:Luke Arenas — HVAC Project Manager at Picture Rocks Cooling, Heating & PlumbingFrom growing up around a family business to helping lead projects today, Luke shares what it means to continue a local legacy built on hard work, service, and taking care of Tucson families.Mayor Jon Post — talking about Marana's past, present, and future as he runs for another term as Mayor.

Andrés Martinez, Author of the book THE GREAT GAME: A Tale of Two Footballs and America's Quest to Conquer Global Sport, joins Sports Business Radio to discuss how America's complicated and ever-evolving relationship with the world can be seen through the two footballs of the world — American football and soccer--and the interaction between them. With FIFA World Cup taking place on North American soil and helping to grow soccer in the United States, this is a fascinating look from a 2-Time Pulitzer Size finalist and former editor for the New York Times, LA Times and Wall Street Journal. Martinez is currently a professor at Arizona State University's Cronkite School of Journalism. LISTEN to Sports Business Radio on Apple podcasts or Spotify podcasts. Give Sports Business Radio a 5-star rating if you enjoy our podcast. Click on the plus sign on our Apple Podcasts page and follow the Sports Business Radio podcast. WATCH SBR interviews by going to the sports business hub on Yahoo Sports and Yahoo Finance at https://sports.yahoo.com/sports-business/ or our YouTube channel at https://www.youtube.com/@sportsbusinessradiopodcast. This week's edition of Sports Business Radio is presented by Boingo Wireless. Teams like the LA Clippers, Atlanta Hawks, Chicago Bears and San Diego Padres trust Boingo to connect their stadiums and arenas with cutting-edge 5G and Wi-Fi.From mobile ticketing to security cameras to kiosks, connect every piece of stadium technology with Boingo's converged wireless networks. As you plan for the future of your stadium, make 5G part of your gameplan and choose Boingo Wireless as your trusted connectivity partner. Learn more by downloading Boingo's free 5G Playbook for Stadiums & Arenas. Head to boingo.com/5Gstadium to get your copy. Sports Business Radio is produced by Bryan Griggs at Griggs Productions dot com #Soccer #Football #WorldCup #NFL  Learn more about your ad choices. Visit megaphone.fm/adchoices

Save big on Vegas with Las Vegas Advisor — get 10% off a membership with code MTM (new members, affiliate): lasvegasadvisor.com Golden Nugget had to drain its famous shark tank after a leak, closing the waterslide and moving some sharks to Mandalay Bay, Primm has officially been saved with Terrible's taking over and reopening July 1st, and Caesars is now selling a $250 caviar and gold leaf hot dog at Omnia. We also tour the Bellagio Conservatory and its new Golden Hour event with drinks, break down all 10 possible NBA arena sites now on the table, look at a possible color changing Luxor beam, cover the Sphere's 15 percent local discount for Wizard of Oz and Kenny Chesney, pour one out for La Bayou and Mermaids 10 years after they closed, and dig into a strong May for Nevada gaming with the Strip up over 13 percent. Let us know what you think in the comments. Episode Guide: 0:00 Thunderbirds Over Vegas (250th) 0:38 Bellagio Conservatory & the New Golden Hour 2:35 Primm Saved: Terrible's Takes Over 4:34 Sphere's 15% Local Discount 5:36 Remembering La Bayou & Mermaids 7:15 10 NBA Arena Sites Explained 10:38 The $250 Caviar Hot Dog 11:43 Golden Nugget's Shark Tank Leak 13:36 A Color-Changing Luxor Beam? 15:21 May Gaming Numbers Surge 17:57 Final Thoughts Want more MTM Vegas? Get our exclusive weekly aftershow and join the community.

Live from Sacramento – Join us on the red carpet as we interview award winners at the 11th Annual Event & Venue Marketing Conference Awards. Dave and Paul speak with award recipients in the various categories and get insight into their experience and advice they have for others wanting to be in their shoes. In addition to this audio version, click this link to watch the video version:

The Dallas Mavericks and Dallas Stars could both be getting brand-new arenas... but what does that actually mean for homeowners, buyers, investors, and the future of North Texas? In this episode, we break down the latest proposals for the Mavs' potential move to the Valley View redevelopment and the Stars' plans for a new entertainment district near Willow Bend. We also look at what history tells us happens when major sports teams relocate or build new stadiums and how those projects have affected property values, development, traffic, and local economies. Will home values increase? Which neighborhoods could benefit the most? Is this another sign that the center of gravity in DFW is continuing to move north? Whether you're a sports fan, a homeowner, or simply curious about the future of Dallas-Fort Worth, this conversation will help you understand the real estate side of these massive developments.

Let us know what you think!Security Halt's Med Group - https://zcform.com/QA5QsClick the link for a FREE consultation with My Med Team to see how we can help.   What happens when the mission ends, the uniform comes off, and you're left searching for purpose?In Episode 443 of the Security Halt! Podcast, Deny Caballero sits down with former Green Beret Brandon Arenas for a powerful conversation about military transition, mental health, brotherhood, spirituality, and healing. Brandon shares his journey from aspiring Navy SEAL to Special Forces soldier, opening up about personal struggles, trauma, identity, and the lessons he learned through faith, vulnerability, and community.This episode explores the realities many veterans face after service—PTSD, isolation, guilt, loss of purpose, and the challenge of rebuilding life beyond the military. Brandon's story is a powerful reminder that healing begins when we stop suffering in silence and start leaning on others.Listen now. Follow the show. Share this with the veteran or entrepreneur who needs to hear it. Chapters:00:00 Why Brotherhood Matters After Military Service 03:02 Transitioning From the Military to Civilian Life 05:57 Building New Relationships and Support Systems 09:04 Brandon Arenas' Journey to Becoming a Green Beret 12:03 Overcoming Adversity and Personal Challenges 15:00 The Role of Mentorship in Recovery and Growth 18:06 Reflecting on Service and Finding Self-Worth 21:01 Why Shared Experiences Create Stronger Bonds 23:56 Finding Purpose Beyond the Uniform 26:37 Leadership, Encouragement, and Positive Impact 29:17 Defining Legacy and Meaningful Service 32:49 Understanding Your Place in the Brotherhood 35:40 Self-Acceptance and Personal Growth 39:17 Combat Experience, Trauma, and Perspective 43:34 Navigating Loss, Guilt, and Grief 46:50 Seeking Help and Beginning the Healing Process 54:52 Mental Health, Recovery, and Self-Discovery 57:32 Understanding PTSD in High Performers 01:00:21 Why Connection Saves Lives 01:02:33 Faith, Spirituality, and Personal Transformation 01:11:44 Mind, Body, and Spirit: A Holistic Approach to Healing 01:16:27 Finding Peace Through Faith and Community Sponsored by: Transcend Use my referral link to book a consultation for Peptide Therapy http://transcendcompany.com/DenyCaballero Pure Liberty Labs Use Code: SECURITY_HALT_10 Instagram: https://www.instagram.com/purelibertylabs/ Website: https://purelibertylabs.com/ PRECISION WELLNESS GROUP  Use code: Security Halt Podcast 25 Website: https://www.precisionwellnessgroup.com/ SPECIAL FORCES FOUNDATION Instagram: https://www.instagram.com/specialforcesfoundation_/ Website: https://specialforcesfoundation.org/ Request Help: https://specialforcesfoundation.org/get-support/  Security Halt Mediahttps://www.securityhaltmedia.com/Instagram: @securityhaltX: @SecurityHaltTik Tok: @security.halt.podLinkedIn: Deny Caballero  Looking for custom handmade items, military memorabilia, or laser engraving? Contact Eric Gilgenast.Instagram:https://www.instagram.com/haus_gilgenast_woodworks_main/Website: https://www.hausgilgenastwoodworks.com/SOF Heritage Designs Custom belt Buckles. Of the Regiment for the Regiment SOF-HD.Instagram: https://www.instagram.com/sofhdesigns/ Support the showProduced by Security Halt Media

Terry Bradshaw, Hall of Fame Quarterback, 4-Time Super Bowl champion with the Pittsburgh Steelers, Emmy-Award winning studio analyst with the NFL on Fox and Founder of Bradshaw Bourbon and Bradshaw Quarter horses joins Sports Business Radio for a wide-ranging conversation.  Bradshaw discusses his Hall of Fame career with the Steelers (where he went 4-0 in the Super Bowl). Bradshaw returned to Pittsburgh earlier this year for the NFL Draft and he shares his feelings about his relationship now with the Steelers organization and his complicated relationship with late Steelers Head Coach Chuck Knoll.  He shares how he went from a rookie in the NFL making $25,000 a year to building Bradshaw Bourbon (www.bradshawbourbon.com) and Bradshaw Quarter horses into thriving businesses. Bradshaw tells us what types of business opportunities intrigue him and the importance of surrounding yourself with the right people in any business venture. Bradshaw opens up about his chemistry and role with his NFL on Fox teammates and how much longer he wants to continue as a broadcaster.  LISTEN to Sports Business Radio on Apple podcasts or Spotify podcasts. Give Sports Business Radio a 5-star rating if you enjoy our podcast. Click on the plus sign on our Apple Podcasts page and follow the Sports Business Radio podcast. WATCH SBR interviews by going to the sports business hub on Yahoo Sports and Yahoo Finance at https://sports.yahoo.com/sports-business/ or our YouTube channel at https://www.youtube.com/@sportsbusinessradiopodcast. This week's edition of Sports Business Radio is presented by Boingo Wireless. Teams like the LA Clippers, Atlanta Hawks, Chicago Bears and San Diego Padres trust Boingo to connect their stadiums and arenas with cutting-edge 5G and Wi-Fi.From mobile ticketing to security cameras to kiosks, connect every piece of stadium technology with Boingo's converged wireless networks. As you plan for the future of your stadium, make 5G part of your gameplan and choose Boingo Wireless as your trusted connectivity partner. Learn more by downloading Boingo's free 5G Playbook for Stadiums & Arenas. Head to boingo.com/5Gstadium to get your copy. Sports Business Radio is produced by Bryan Griggs at Griggs Productions dot com #NFL #TerryBradshaw #Business #Steelers Learn more about your ad choices. Visit megaphone.fm/adchoices

Derrick Stroup is an Alabama-born stand-up comedian known for his high-energy storytelling and Southern observational humor. He broke out nationally with appearances on The Tonight Show Starring Jimmy Fallon in 2023 and 2025 and has since become a regular headliner, touring alongside comics like Bert Kreischer and Nate Bargatze. Check out his special Nostalgic on Netflix, and visit derrickstroup.com for tour dates and more.IN THE NEWS: Chelsea Handler slams Shane Gillis and Tony Hinchcliffe's “racist” jokes at the Kevin Hart roast, Michelle Obama warns liberals against “pigeonholing” Donald Trump voters, and a grandmother tragically dies after stepping out of her vehicle into an open manhole in New York City.GET IT ON!FOR MORE WITH DERRICK STROUP:SPECIAL: Nostalgic (Filmed at Lyric Theater in Alabama)AVAILABLE ON NETFLIX NOW WEBSITE: derrickstroupcomedy.comFOR MORE WITH ADAM YENSER:YOUTUBE SHOW: The Cancelled NewsINSTAGRAM: @adamyenser TWITTER: @cleancomedian69DATES: May 29,( Kenosha, WI) May 30, (Kenosha, WI)June 20,(Scranton, PA) LIVE SHOWS: June 12 - Oklahoma City, OK (2 Shows)June 13 - Tulsa, OK (2 Shows)June 20 - Santa Ana, CA (KROQ Doc Screening)Thank you for supporting our sponsors:GetAcreGold.com/AdamBetOnlinePluto.tvMarathonRewards.comoreillyauto.com/ADAMSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week Matt & Vince talk RAW Logic, Darby's Burnout, Arenas, RAW Vault 12/22/1997 and more!   WWW Shirts: http://prowrestlingtees.com/wewatchwrestling Become a Patron! Bonus audio! Join the Discord!  https://www.patreon.com/wewatchwrestling