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Mit Maximilian Senft holt der KSC einen neuen Cheftrainer aus Österreich vom SV Ried, der sicher für viele Fans ein unbeschriebenes Blatt ist. Um einen besseren Eindruck von unserem neuen Trainer zu bekommen, haben wir uns mit Lukas Brandl, dem Technischen Direktor von der SV Ried, im Podcast unterhalten! Mit ihm sprachen wir über deren gemeinsame (und sehr erfolgreiche) Zeit bei der SV Ried, wie Maximlian Senft so tickt und warum er besonders gut zum KSC passen könnte! Da grad viel passiert haben wir natürlich auch die KSC-News im Gepäck! Da wir am Dienstag, den 2. Juni aufgenommen haben, ist die Verpflichtung von Shio Fukuda nicht mit drin. Freut uns dennoch riesig!!! Viel Spaß mit der Folge! Niklas & Boris

Rekordjagd an der Wall Street: Der S&P 500 und der NASDAQ 100 eilen von Hoch zu Hoch – und ein Ende scheint nicht in Sicht. Starke Unternehmenszahlen, ein explodierender KI-Boom und massive Investitionen treiben die Märkte möglicherweise weiter an. Warum das erst der Anfang sein könnte und weshalb die aktuelle Rally aus seiner Sicht nichts mit der Dotcom-Blase gemein hat – das erklärt Alfred Maydorn im Gespräch. Hinweis: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlageempfehlungen dar. Die Moderatoren oder der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen.

L'évaluation est au cœur du métier enseignant. Mais avec l'arrivée des intelligences artificielles génératives, une question devient incontournable : que mesure-t-on encore vraiment ?Devoirs faits à la maison avec l'aide de l'IA, productions écrites difficilement attribuables à un élève, réponses instantanées à des questions complexes… L'IA bouscule les repères traditionnels de l'évaluation. Certains y voient une menace (triche, perte d'authenticité), d'autres une opportunité (feedback personnalisé, différenciation, développement de compétences métacognitives et numériques).Dans cet épisode, nous explorons ce moment charnière où se posent ces questions : quelles pratiques concrètes émergent déjà dans les classes ? Comment l'évaluation peut être transformée pour répondre à sa fonction première ? Comment peut-elle devenir un levier d'apprentissage plus qu'un outil de contrôle ?Avec :Bruno Devauchelle, enseignant-chercheur associé au laboratoire Techné à l'université de Poitiers,Cécile Le Chevalier, professeure de lettres en lycée, formatrice, interlocutrice académique du numérique (IAN) et experte disciplinaire Lettres de la direction du numérique pour l'éducation (DNE).Références : Playlist Extra classe Enseigner avec l'IA.Dossier « IA génératives en éducation » de Réseau Canopé.Rapports d'études sur les représentations des élèves sur l'IA. CanoTech : webinaire L'évaluation des productions d'élèves à l'heure de l'IA et vidéo Comment évaluer une production d'écrits assistée par une IA ? Inspirations des invités : Construire une lecture critique avec Britannicus : interprétation, portfolio et usage raisonné de l'IA. Serge Tisseron, Machines maternelles. L'IA peut-elle prendre soin de nous ?, PUF, 2026.Plus de références et de liens sur le groupe Facebook « Extra classe - Podcast et enseignement ».Chapitres00:00 Introduction03:03 Évaluer quoi… quand l'IA peut tout faire ?10:20 « L'alignement pédagogique en 90 secondes »14:53 Tricher ou apprendre, que fait vraiment l'IA aux élèves ?29:43 Réinventer l'évaluation, des pistes concrètes50:44 InspirationsExtra classe, le podcast produit par Réseau Canopé.Épisode préparé et animé par : Hélène Audard, Régis ForgioneAvec l'appui technique de : Floriane Le Maître, Nadjim MioudiDirecteur de publication : Samuel VitelCoordination et production : Hélène Audard, Magali DevanceRéalisation : Simon Gattegno© Réseau Canopé, 2026Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

We've been on a bit of a mini World Models series over the last quarter: from introducing the topic with Yi Tay, to exploring Marble with World Labs' Fei-Fei Li and Justin Johnson, to previewing World Models learned from massive gaming datasets with General Intuition's Pim de Witte (who has now written down their approach to World Models with Not Boring), to discussing the Cosmos World Model with with Andrew White of Edison Scientific on our new Science pod, to writing up our own theses on Adversarial World Models. Meanwhile Nvidia, Waymo and Tesla have published their own approaches, Google has released Genie 3, and Yann LeCun has raised $1B for AMI and published LeWorldModel.Today's guests have a radically different approach to World Modeling to every player we just mentioned — while Genie 3 is impressive, its many flaws demonstrate the issues with their approach - terrain clipping, noninteractivity (single player, no physics/no objects other than the player move), and maximum of 60 second immersion. Moonlake AI (inspired by the Dreamworks logo) is the diametric opposite - immediately multiplayer, incredibly interactive, indefinite lifetime, capable of MANY different kinds of world models by simulating environments, predicting outcomes, and planning over long horizons. This is enabled by bootstrapping from game engines and training custom agents: In Towards Efficient World Models, Chris Manning and Ian Goodfellow join Fan-Yun in explaining why their approach to efficiency with structure and casuality instead of just blind scaling is sorely needed:SOTA models still show physical or spatial understanding glitches, such as solid objects floating in mid-air or moving “inside” other solid objects.If the goal is to plan for the next action, how often is a high-resolution pixel view necessary for modeling the world? Our bet is that there is a disproportionately large share of economically valuable tasks where such detail is not required. After all, humans with a wide variety of sensory limitations have little difficulty doing almost everything in the world. Furthermore, for a large number of purposes, describing a scene or a situation in a few words of language (“the car's tires squealed as it cornered sharply”) is sufficient for understanding and planning.Experiments also show that humans only partially process visual input in a top-down, task-directed way, often making use of abstracted object-level modeling. In almost all cases, partial representations combined with semantic understanding are sufficient.…If the goal is to facilitate the understanding of causality in multimodal environments, then the world model—whether it is used in the virtual world or the physical world—must prioritize properties such as spatial and physical state consistency maintained over long time periods, and an ability to evolve the world that accurately reflects the consequences of actions. That's what Moonlake is building.Game engines are the right starting point abstraction to efficiently extract causal relationships, and building the interfaces and community (including their new $30,000 Creator Cup) to kickstart the flywheel of actions-to-observations.We were fortunate enough to attend their sessions at GDC 2026 (the Mecca of Game Devs), and were impressed by the huge variety and flexibility of the worlds people were building with Moonlake's tools already! Live videos on the pod.Full Video Pod on YouTube!Timestamps00:00 Benchmarking Gets Hard00:47 Meet Moonlake Founders01:26 Why Build World Models03:12 Structure Not Just Scale05:37 Defining Action Conditioned Worlds07:32 Abstraction Versus Bitter Lesson14:39 Language Versus JEPA Debate20:27 Reasoning Traces And Rendering Layer37:00 Gameplay Over Graphics38:02 Fiction Rules And World Tweaks39:15 Code Engines Beat Learned Priors41:10 Diffusion Scaling Limits43:23 Symbolic Versus Diffusion Boundary46:14 Platform Vision Beyond Games50:24 Spatial Audio And Multimodal Latents54:23 NLP Roots Hiring And Moon Lake NameTranscript[00:00:00] Cold Open[00:00:00] Chris Manning: Think this whole space is extremely difficult as things are emerging now. And I mean, it's not only for world models, I think it's for everything including text-based models, right? ‘cause in the early days it seemed very easy to have good benchmarks ‘cause we could do things like question answering benchmarks.[00:00:20] But these days so much of what people are wanting to do is nothing like that, right? You're wanting to get some recommendations about which backpack would be best for you for your trip in Europe next month. It's not so easy to come up with a benchmark, and it's the same problem with these world models.[00:00:41] Meet the Founders[00:00:41] swyx: Okay. We're back in the studio with Moon Lake's, two leads. I, I guess there's other founders as well, but, sun and Chris Manning. Welcome to the studio.[00:00:54] Fan-yun Sun: Thanks. Thanks, Chris. Thanks for having us.[00:00:56] swyx: You've got, you guys have, come burst onto the scene with a really refreshing [00:01:00] new take of mold models.[00:01:01] I would just want to, I guess ask how you, the two of you came together. Chris, you're a legend in NLP and just AI in, in, in general. You're, you're his grad student, I guess[00:01:10] Fan-yun Sun: Actually my co-founder.[00:01:11] swyx: Oh, yeah.[00:01:12] Fan-yun Sun: I should give a lot of credit to my co-founder, Sharon. Yeah. She was, she was actually working with Professor Fe Androgyn and then she ended up working with, Ron and Chris Manning here.[00:01:22] And then, so I got connected through to Chris initially, actually through my co-founder,[00:01:26] What is Moon Lake?[00:01:26] swyx: what is Moon Lake? What, what is, actually, I'm also very curious about the name, but like why going into world models?[00:01:33] Fan-yun Sun: So I was working a lot. With actually Nvidia research during my PhD years on essentially generating interactive worlds to train reinforcement learning agents or embody EA agents.[00:01:44] And then there's two observations. One in academia and one in industry. An industry like folks at Nvidia are actually paying a lot of dollars to purchase these types of interactive worlds, whether it's for the sake of evaluation or training the robots, or policies or models. And [00:02:00] then, in academia, same thing is happening.[00:02:02] And more specifically, when I was actually working with Nvidia on the synthetic data foundation model training project, we were actually generating a lot of these synthetic data and showing that, hey, you can actually, these synthetic data are actually as useful as real world data when it comes to multimodal pre-training.[00:02:16] But then, like I said, there's a lot of dollars being paid out to like external vendors or, or like. Other folks to manually curate these types of data. It was very clear to us that, okay, on our way to, let's call it embody general intelligence models need to learn the consequences behind their actions, which means that they need interactive data and the demand for those types of data are growing exponentially.[00:02:38] But everybody's sort of thinking about it from a pure, say, video generation perspective or something else. But we feel like the true actually opportunity is actually building reasoning models that can do these things, like how humans do these things today. So that's a little bit on the genesis of Moon Lake, and I think the reason I got into world models was partly.[00:02:59] A philosophical [00:03:00] take of the on the world where I like, believe the simulation theory and stuff like that. But on the other, on the other hand, it's really just like, oh, like there's an opportunity there that I feel like nobody's doing it the way I think should be done.[00:03:10] Structure, Not Scale: The Vision[00:03:10] Chris Manning: I can say a little bit about that.[00:03:12] Yeah. So of the overall goal is the pursuit of artificial intelligence and most of my career has been doing that in the language space and that's been just extremely productive. As we all know, the story of the last few years, I don't have to tell about how much we've achieved with large language models, but, uh.[00:03:31] Although they have been extremely effective for ramping language and general intelligence, it's clearly not the whole world. There's this multimodal world of vision, sound, taste that you'd like to be dealing with more than just, language. And then the question is how to do it. And despite, a huge investment in the computer vision space, right, as the research field computer [00:04:00] vision has been for decades, far, far larger than the language space, actually.[00:04:05] I think it's fair. Say that, vision, understanding sort of stalled out, right? You got to object recognition and then progress just wasn't being made right? If you look at any of these, vision language models, it's the language that's doing 90% of the work and the vision barely works. And so there's really an interesting research question as to why that is and at heart, the ideas behind Moon Lake are an attempt to answer that, believing that there can be a really rich connection between a more symbolic layer of abstracted understanding of visual domains, which aren't in the mainstream vision models, which are still trying to operate on the surface level of pixels.[00:04:50] swyx: I think one of your blog posts, you put it as structure, not scale. Is that, a general thesis?[00:04:57] Chris Manning: Yeah. Well, scale is good too.[00:04:58] swyx: Yeah. Scale is good. Too[00:04:59] lot,[00:04:59] Chris Manning: [00:05:00] lots of data is good as well and scale, but nevertheless, you want the structure Yeah. To be able to much more efficiently learn.[00:05:07] swyx: Yeah. The other thing I really liked also is you put out an example of what your kind of reasoning traces look like.[00:05:12] Right. Which you would distill is the word that comes to mind. I don't even think that's a good, good description, but it would involve, for example, geometry, physics, affordances, symbolic logic, perceptual mappings, and what, what have you. But like that, that is the kind of example that involves, let's call it spatial reasoning, role model reasoning as as compared to normal LM reasoning.[00:05:35] Yeah.[00:05:36] Defining World Models vs Video Generation[00:05:36] Vibhu: But also like taking it a step back. So how do you guys define world models? A lot of people see okay, you can do diffusion, you can do video generation. But, you guys put out quite a few blog posts. You put out a essay recently, we can even pull it up about efficient world models. You have a pretty like structural definition here, but for the general audience that don't super follow the space, right.[00:05:55] What's, what's the difference in what we see from like a video generation model to [00:06:00] a world gen A simulator? How do you kind of paint that last[00:06:02] Chris Manning: year? Yeah, so I think this is actually a little bit subtle because, people look at these amazing generative AI video models, SAWA VO three, one of these things, and they think Genie, they think, oh, this is amazing.[00:06:17] This is we've solved understanding the world because you can produce these generative AI videos, but. The reality is that although the visuals do look fantastic, those visuals actually are accompanied by an understanding of the 3D world, understanding how objects can move, what the consequences of different actions are, and that's what's really needed for spatial intelligence.[00:06:49] So I mean, a term we sometimes use is that you need action condition, world models. That you only actually have a world model if you can predict, [00:07:00] given some action is taken, what is going to change in the world because of it. And in particular, that becomes hard over longer time scales. So if you're simply, trying to.[00:07:12] Predict the next video frame. That's not so difficult. But what you actually want to do is understand the consequences, likely consequences of actions minutes into the future. And to do that, you actually much more of an abstracted semantic model of the world.[00:07:32] The Bitter Lesson & Data Abstraction[00:07:32] swyx: Yeah, the question comes where you want to have more structure than is available in just predicting the next token.[00:07:41] And typically, well, let's, let's call it the experience of the last five years has been that is just washed away by scale, right? So what is the right middle ground here that, you don't ignore the bitter lesson, but also you. Can be more efficient than what we're doing today.[00:07:57] Chris Manning: One possibility [00:08:00] is, look, if we just collect masses and masses and masses and masses of video data, this problem will be solved.[00:08:11] Under certain assumptions that could be true, but there are sort of multiple avenues in which it could not be true. The first is what's really essential is understanding the, the consequences of actions producing an action conditioned world model. And if you are simply, collecting observational video data, which is the easy stuff to collect, when you're sort of mining online videos, you don't actually.[00:08:41] Know the actions that are being taken to see how the video is changing. And so if you are never collecting directly actions and you are having to try and infer them from what happened in the observed video, that's not impossible. But it's very [00:09:00] hard and it's not really established that you can get that to work at any scale yet.[00:09:05] And so there's a lot of premium on collecting action condition video data, which is part of why there's been a lot of interest in using simulation so that you can be collecting data where you do know the actions, which isn't quite limited supply, but there's also in the limit of as much data as you could possibly have.[00:09:28] Maybe the problem is eventually solvable, but. Even though we collect huge amounts of text data is always at a great level of abstraction, right? Language is a human designed, abstracted representation where there's meaning in each token and it's representing and abstraction of the world, right?[00:09:51] As soon as you are describing someone as a professor, and as soon as you are saying that they're condescending, right? These are very [00:10:00] abstracted descriptions of the world. It's not at what you're observing as pixel level, and to get to that kind of degree of abstraction, starting from pixels is orders and magnitude of extra data and processing.[00:10:14] And so, although, we absolutely want to exploit, get as much data as possible, use the bitter lesson. Nevertheless, if there are ways in which you can work with five orders of magnitude less data than people working purely from pixels, you're gonna be able to make a lot more progress, a lot more quickly.[00:10:34] And that's the bet here. And so you could just say that's only wanting to be able to, do it more efficiently, do it more quickly, do it more cheaply. But I think it's actually more than that, I think. One should be making the analogy to how human beings work at one level. You know? Yes, we have these high [00:11:00] resolution eyes and we can look and see a scene like a video, but all of the evidence from neuroscience and psychology is that most of what comes into people's eyes is never processed.[00:11:13] Right. That you are doing fairly fine ated processing of exactly what you're focusing on. But as soon as it's away from that of yeah, there's another guy over there that you've sort of only processing top down this very abstracted semantic description of the world around you. And so, that's what human beings are doing.[00:11:33] They're working with semantic abstractions and so. I think it is just the right representation. ‘cause we also have other goals we want to be able to do, real time worlds. So that means there's a limit to how much processing you can do and we want to do long-term planning and consistency. And again, that favors abstraction.[00:11:55] I mean, I guess there was actually a recent. Blog posts that [00:12:00] came out from our Friends of physical intelligence and, they were sort of heading in the same direction they were saying Oh, to the pay[00:12:06] swyx: pay model.[00:12:07] Chris Manning: Yeah. Yeah. To maintain a long term memory of what's happening in the world. So we can, do longer term we actually storing text of what is, been happening in the world.[00:12:19] Right. It is not such a successful strategy of trying to keep it all at a pixel level.[00:12:24] Vibhu: And yeah, I mean, you can see it in video models like that Temporal consistency. We're at a scale of train on, all the video data we have. We have it for maybe 30 seconds, a few minutes. That's not the same as a game state played for half an hour.[00:12:37] Right. I thought you guys break it down pretty well. You have a, you have a blog post about. Building multimodal worlds with an agent. I dunno if you guys wanna talk about this. This is one of the things I read, I[00:12:48] swyx: thought, yeah, it's the thing I talked about with the reasoning chain. Yeah.[00:12:51] Vibhu: So there's like different phases to this.[00:12:53] It seems like it's more of an agent, a scaffold, very different approach than just, type in a prompt and you, you don't have the same consistency. [00:13:00] It also, like, for people that are listening, I, I would highly recommend reading it. It breaks down the problem in a different light, right?[00:13:06] So like, what do you need to consider when you're talking about video, like world game models, right? How would, what do you need to consider? What are the factors? What are the elements? What's the state? So I don't know if you guys have stuff to talk about for this one.[00:13:19] Fan-yun Sun: Yeah. Actually, I wanted to add on a little bit Yeah.[00:13:22] On our previous point, which is just like, change topics so quickly. I, I do feel like sometimes people confuse like, oh, like we're taking an an, an method with abstraction. That means they don't believe in bitter lesson. Like that's just false, right? Like we are believed is a bitter lesson. But then I feel like the question that we always discuss is like, what is the right abstraction level today?[00:13:42] The analogy I like to make is like, let's just say we can encode and decode. Represent all of images, videos, audio and bytes. Then the most bitter lesson approached is to train a next byte prediction model as opposed to the next token prediction model where it's just like, okay, it's natively multimodal, can just, but it's like, yeah, like [00:14:00] to, to Chris's point, it's like the scale and computing you need to achieve that.[00:14:03] So that's why we always come back to like, okay, what is the most efficient way to do it? And reasoning models to the point of this blog post is a showcase of like, Hey, we're actually just like reasoning about the world and reasoning about. The aspects of the world that CAGR that matter for me to learn what I want to learn from this role model.[00:14:21] swyx: Yeah, it's like you're improving the en encoder of whatever you're, trying to model. And like a better representation would just represent the important things in less space. Yeah. Which would just be more efficient.[00:14:33] Fan-yun Sun: Yeah.[00:14:34] swyx: So yeah, I, I, I fully agree that it is not, antagonistic to, bitter lesson.[00:14:38] I do wanna wanna mention one more thing. Is there any philosophical differences with the JPA stuff that, Yun is working on? I gotta go there. You, you, you, you're, you're imagining like some latent abstraction. I'm like, okay, fine. Let's, let's talk about it, right? Like it's an elephant in the room.[00:14:52] Chris Manning: Yeah.[00:14:53] JEPA & Philosophical Differences with LeCun[00:14:53] Chris Manning: There are philosophical differences. Jan Lacoon is a dear friend of mine, but. [00:15:00] He has never appreciated the power of language in particular, or symbolic representations in general. Yarn is a very visual thinker. He always wants to claim that he thinks visually and there are no words, symbols, or math in his head.[00:15:21] Maybe that's true of yarn. It's certainly not the way I think. Um. But at any rate, the world according to yarn is the basic stuff of the, the world and of intelligence is visual and language is just. This low bit rate communication mechanism between humans and it doesn't have much other utility and it's far inferior to the high bit rate video, that comes into your eyes.[00:15:53] And I think he's fundamentally missing a number of important things [00:16:00] there. Think of this evolutionary argument looking at animals, right? That the closest analogies, the things with chimps, right? So chimpanzees, have fairly similar brains to human beings. They have great vision systems, they have great memory systems.[00:16:18] They've got, better memory than we do of short term memories. They can plan, they can build primitive tools that, humans. Massively ahead in what we understand about the world, what we can plan, what we can build. And essentially what took off for us was that humans managed to develop language and that gave a symbolic knowledge, representation, and reasoning level, which just, okay if this sort of vaulting of what could be done with the intelligence in brains.[00:16:59] So the [00:17:00] philosopher Dan de refers to language as a cognitive tool and argues that, humans unique among the creatures in the world have managed to build their own cognitive tools and language is the famous first example. But other things like, mathematics and programming languages are also cognitive tools.[00:17:21] They give you an ability to. Think in abstractions, in extended causal reasoning chains. And that allows you to do much more. And we use that for spatial representation and intelligence and planning and gameplay as well. So we believe, and this is, underlying the specific technologies that Moon Lake is making, that symbolic representations are powerful.[00:17:50] And you want to use that in your understanding of the visual world when you want a causal understanding, when you want to maintain long-term [00:18:00] consistency and prediction. And as I understand it, that's just not in ya Koon's worldview. So I think that's the fundamental philosophical difference. Then there's the specific model.[00:18:11] He's been advancing jpa, that's a reasonable. Research bed is a direction as to, to head for building out a model of the visual world. To my mind, it's sort of one reasonable research bed. It's not really established. It's the best one that everyone should be following,[00:18:32] swyx: at least developed at scale, at Meta.[00:18:34] But it's not just vision, right? Like, I mean, JPA is a, just joint admitting prediction can be applied to anything really. And people have done it. The argument is that there is a latent representation or that is probably more. Suited to the task, then why not let machines do it for us instead of predefining it at all?[00:18:50] And isn't something like a JPA shaped thing the right answer? And if not, why not?[00:18:55] Chris Manning: So I think there's a part of jpa that's right, which is [00:19:00] you do want to have a joint. Embedding that gives you a consistent model of the world. And Jan's argument is you can never get that from auto aggressive language models ‘cause they're sort of left to right churning out one token at a time.[00:19:22] I guess this is where we're the research arguments of the field, I'm not actually convinced that's right. ‘cause although the token production is this auto aggressive, process that's heading, left to right, I guess don't have to be left to right. But anyway, in sequence of tokens we could have right to left Arabic.[00:19:40] But although that's true, all of the weights of the model that are internal to the transformer, they are a joint model of the model's understanding of the world. And so I think you can think of the weights of the model as a form of. Joint representation, [00:20:00] and therefore it is plausible to think that could be the basis of a world model, which avoids, ya's objections.[00:20:10] swyx: I think I follow, and obviously that would touch on what Moon Lake eventually ends up doing as well. Right. Like, which it's hard to tell because you put out the end results, but we don't know the inputs that go into it. So it's, it's, that's something that we have to figure out over time.[00:20:25] Vibhu: Yeah. I mean, I guess this kind of breaks down some of the outputs. Do you wanna walk us through it?[00:20:31] Reasoning Traces & Interactive Worlds[00:20:31] Fan-yun Sun: Yeah. So this, this really just walks us through the reasoning traces of like, okay. So that just say, if we wanna build a world in this context, it's really just a game demo that, that shows the, the variety of interactions that this world model can build.[00:20:45] And yeah, it's really just a reasoning traces of like, okay it prompted to create a bowling game. Like how did it achieve what you saw? That level of causality, interaction and consistency, right? So yeah, this is almost just like a, an example of [00:21:00] like a reasoning traces. Very[00:21:01] swyx: detailed.[00:21:01] Fan-yun Sun: Yeah.[00:21:01] Vibhu: Very, very detailed.[00:21:02] You gotta you don't even realize it, right? Like when a video is generated, what happens when a ball strikes a pin, right? So first, like you, there's audio in that, like audio triggers happens, score increments, the world changes. Like pins have to start dropping. There's a timer that goes on. It's just like very similar to how now we're used to reasoning for language models.[00:21:20] There's a whole state of what happens. So geometry, physics, all this stuff. And then yeah, there's kind of that single prompt. So asset, ation all this stuff. It's like a, it's a nice view to see what's going on.[00:21:32] swyx: I think Sun is also too polite to point out that, both like Google's genie, demos as well as world Labs is marble, do not have interactive worlds.[00:21:41] Fan-yun Sun: That's the benefit of having a reasoning model, right? Like, because you can, you can say, oh, like maybe in this particular context, I want to learn how to bowl. And then you can say, okay, then what is it important when it comes to learning how to bowl? Okay, maybe it's like I need to understand the, the basic of like, physics and I want to throw it over [00:22:00] them.[00:22:00] I wanna know that when I, when it resets it's a new game. So I know that yeah, basically, you know to pick up the ball, you know that ball's gonna cause the pins to fall down. You know that what's important to this particular bowling game is to score and you know that the score corresponds to the number of pins that fell down.[00:22:19] So it's just like, if it's a model that sort of knows what it. Looks like, knows what a bowling game looks like, but doesn't actually allows you to practice over and over again and to understand that, oh, like what it takes to actually get a high score. Then it sort of doesn't actually allow you to learn what you set out to learn within the world model.[00:22:38] And I think this is really just one example of showing like the advantages of the approach that we're taking over most the, let's call it the zeitgeist, is today, when people talk about clinical role models,[00:22:51] Chris Manning: right? So it sort of seems like the question to ask when there's a world model is.[00:22:58] Can I not [00:23:00] only just wander around the world and look at the beautiful graphics, can I interact with the objects in the world and see the right consequences of actions?[00:23:11] Vibhu: And you also understand what the consequences would be if you do something right. So it's not just like, okay, there's one thing if I pick it up, something will happen.[00:23:19] But, there's 50 options and I know I can expect, I can infer what would happen if I do any of them. Right. So very different when you can actually see it play around with it.[00:23:28] swyx: There,[00:23:28] Beyond Unity: Cognitive Tools for World Building[00:23:31] swyx: there's two cheeky elements of that. I mean, the, the, the I guess, less ambitious one is, let's really establish for listeners, why is this fundamentally different than writing Unity code, right?[00:23:40] Like just creating a model to translate a prompt into Unity code[00:23:44] Fan-yun Sun: so there is an underlying physics engine. Yeah. In that sense, there's some overlapping things to Unity, but the way we think about it is like physics engine. Tools or code are cognitive tools like borrowing Chris's term, right? Like tools [00:24:00] that the model can employ as means to an end.[00:24:04] So today maybe you say, okay, in this particular context we care about physics, we care about the long-term causality consequences. Then yes, we deploy it, employ physics engine, and then maybe tomorrow we say, okay, we're we're training that. Just say drones where we only care about really fluid dynamics and the visual aspect of the world.[00:24:25] Then, then yeah, maybe we don't actually, the model actually doesn't have to use a physics engine. Or maybe it employs other types of representation or physics engine to achieve the task. So yes, writing code for Unity is sort of similar to a tool that our A model can employ, but our goal is for a model to take a representation conditioned reasoning.[00:24:46] Approach or process.[00:24:47] swyx: Yeah,[00:24:47] Fan-yun Sun: internally.[00:24:48] swyx: Yeah. Using these things as just like general two calls. Right. Which I think is very interesting. The other more ambitious one is, some kind of recursive element where it becomes multiplayer, right? Like here, there's a single player element, you're not [00:25:00] modeling any other people involved.[00:25:01] And that is a whole other thing.[00:25:04] Fan-yun Sun: But in fact, we can really do multiplayers. Oh yeah, okay. I haven't seen any double situations. So just actually just like prompt our, our model to say, Hey, like configure to multiplayer. Then it'll do like this. You'll be able to configure multiplayer[00:25:16] swyx: great[00:25:17] Fan-yun Sun: persistency database for you.[00:25:18] Easy. Yeah.[00:25:19] Vibhu: So what, what are like some of the current limitations in where we're at? So there's one approach of like, okay, scale up video predictors. Obviously there's data issues. With approaches like this, is it data constraints? What are like the next steps? Is it real time? Like, so there's one side of, write an agent to write Unity code, but okay, I want to be streaming a game real time.[00:25:38] I want to have characters being also like agent, but where, where do we kinda see this scaling up? Right?[00:25:44] Fan-yun Sun: Yeah, there's definitely a data constraint. Like the more data, the, the better. This reasoning model can almost basically act as humans to like operate a variety of tools and softwares to build whatever's necessary.[00:25:57] And then there's a sort [00:26:00] of fidelity constraint, which we're actually solving with another model, which we can talk about later. But it's like, it's not as easy to get to photorealism with the approach that we're taking. But we think there are better solutions to that, which is we can dive into later.[00:26:14] Later.[00:26:15] Vibhu: The one one thing you note here is it's a diffusion model, right? So there's, there's a few approaches, diffusion caution, splatting, yeah, so Ry diffusion model, you guys wanna[00:26:25] Fan-yun Sun: Yeah.[00:26:25] Vibhu: Introduce,[00:26:26] Fan-yun Sun: yeah, totally.[00:26:26] Rie: Neural Rendering & Skins for Worlds[00:26:26] Fan-yun Sun: So within our world modeling framework, we think there are two models that we train, right?[00:26:31] Like, there's the multimodal reasoning model that we just talked about that essentially handles. Mainly the, the causality, the persistency and logic determinism of the world. And then RY is our bet on saying, okay, like while all those model, can take care of all these things that we just talked about, it's limitations compared to existing, say, video models, is that it doesn't have as high of a pixel [00:27:00] ality right off the gate, right?[00:27:02] And EE is to say, Hey, we can actually take whatever persistent representation that we generate with our multimodal reasoning model and learn to restyle it into photo photorealistic styles or arbitrary styles you want. So this model is almost to say, Hey, I'm going to respect the persistency and interactivity of the world that you created, but my only job is to make sure that its pixel distribution is close to what we want.[00:27:29] Vibhu: Yeah.[00:27:30] swyx: Great example right there. You kept the KL divergence.[00:27:33] Fan-yun Sun: Oh. Where,[00:27:34] swyx: no, no. I mean this, this is a, a classic like, how you don't stray too far from the source material as you, you kept the kl, which is Oh yeah. Kind of cool. Yeah.[00:27:43] Fan-yun Sun: Yeah.[00:27:44] swyx: I mean, and the[00:27:44] Chris Manning: difference is, and I mean sun was pointing at this, where sort of saying it's in one way a more difficult path, but a better path that, typically the diffusion models are producing the whole scene and it looks lovely, [00:28:00] but there isn't spatial understanding behind it, which is allowing for the real time graphics gameplay, the spatial intelligence, understanding the consequences of worlds where this is, taking a path where it is assuming an abstracted semantic model of the world's state.[00:28:20] And then the diffusion model is then being used on top of that to produce the high quality graphics.[00:28:27] swyx: Is there an intended practical, or business use for this, or is it like a, like a demonstration of capabilities?[00:28:34] Fan-yun Sun: We actually believe that this is gonna be the next paradigm of rendering. So it's gonna replace how ra raizer, it's gonna replace DLSS today because it not only has these pixel prior that's learned from the world such that you can literally play any game in photo realistic styles, which is a lot of people's desire when they do GTA, right?[00:28:51] Like,[00:28:51] Vibhu: all the mods, all the people adding perfect lighting and all this.[00:28:54] swyx: So[00:28:54] Fan-yun Sun: skins[00:28:55] swyx: for worlds, let's call it[00:28:56] Fan-yun Sun: skins, let's call it skin for worlds. I,[00:28:58] Vibhu: it's also like, you can call it skin, you can call it [00:29:00] customization. You can play it how you want, right?[00:29:01] Fan-yun Sun: Yeah, exactly. And I think another thing that we really pointed out specific specifically in this blog is the programmability of it, right?[00:29:09] So what this means is that this render historically render is always a derivative of the game state, right? You're saying, oh, here's the game state, I'm rendering out a frame. But here I'm saying actually this render can be part of the gameplay loop. I can say something along the lines of, if upon getting 10.[00:29:26] Apples, I'm gonna, my weapon of choice, my bullet's gonna turn into apples. And that's, that's possible because we can say, we can basically dynamically have certain game state trigger the, the preconditions to the render such that the rendering is now part of the game loop too. One thing is to just say, okay, it's, it's, it's the appearance.[00:29:47] But the second thing is also to say there's these novel interactions that are possible because this render now has actually priors of the world.[00:29:57] swyx: It is up to the artist to figure out what to do with it.[00:29:59] Fan-yun Sun: It [00:30:00] is up to the creators. Yes.[00:30:01] swyx: Yeah.[00:30:01] Fan-yun Sun: And I also think that's actually another big argument that we're making and the reason that we're picking, taking the bet we're baking is that a lot of the times, whether it's for embody AI gaming, like you want a layer where human can inject their intentions.[00:30:15] So, for example, let's just say in the context of gaming, it's obviously like my creative intent, but maybe in the context of embodied ai, it's like, oh, like I take this foundational policy and I want to actually fine tune it to deploy in my house. So you want to almost say, inject, have a layer where human can say, oh, here's the distribution of things I want to create to achieve my goal.[00:30:35] And I think 3D graphics as it as it is today, is basic, the layer for people to say, Hey, what do I care about in this world? And it allows, basically human intent to be expressed in these worlds much more explicitly and distributionally as opposed to just saying, Hey, I'm gonna generate like, arbitrary.[00:30:54] And it's like just prompts,[00:30:55] swyx: it's one of those things where like, I think you, you're going to build up a series of models, right? [00:31:00] This is just one of, this is probably like the highest utility or heaviest, frequency one, I don't dunno what to call this. Where like you Yeah. You can immediately drop this in on any game and you don't need anything else that.[00:31:10] That you guys do. But, I, I could see, I could see that I think the, the human intent is something that people are not even used to because we're so used to static worlds or, worlds that just don't react, or, I don't know. It's, it, you're kind of blowing my mind right now with like, I'm, I wonder if you've talked to people at GDC Hmm.[00:31:27] And what are they gonna do with it?[00:31:30] Fan-yun Sun: Yeah. Now the stance that we take on this front is like, we're not gonna be more creative than our users to ship[00:31:35] swyx: it out.[00:31:35] Fan-yun Sun: Yeah. But we wanna make sure that we're building things in a way that really allows them to express their intent.[00:31:41] swyx: The thing that you said about, here's the distribution that I want.[00:31:45] I think text may be too low of a bandwidth to. To really demonstrate, because I, I, there, I'm, I'm probably just gonna want to drop in a bunch of, reference assets and then you can figure it out from[00:31:58] Vibhu: there. But you probably wanna do a, a mixture of [00:32:00] both, right? Like you throw in a few images. I wanted this style.[00:32:02] Yeah. I want it to look like this. So it, it's, it's a mixture, right?[00:32:05] Chris Manning: I, I think it's a mixture. I mean, yeah, I mean there's clearly a visual component of this, and it's not that, everything can be text. ‘cause of course you want to give a visual look, but there's also a massive amount of giving the overall picture of the look of the world and the behavior of things that you can express in a few words of text.[00:32:32] And it be very time consuming and difficult to do via visual means. So I think, yeah, you want a combination of both.[00:32:40] Evaluating World Models[00:32:40] Vibhu: So one question I kind of have is, how do we go about evaluating world models? So like, there's many axes, right? One is like, okay. I have preferences. How well do we adhere to prompts? One is the simulation.[00:32:50] One is like do things, is there core logic that's broken? So coming from we know how to evaluate diffusion, there's fidelity, there's [00:33:00] stuff like that. But what are some of the challenges that most people probably aren't thinking about?[00:33:04] Fan-yun Sun: Yeah, I think this is like a great question and probably one of the hardest questions in role models because like, I think it always comes back to what are you building this role model for?[00:33:13] And depending on your end goal and purpose, the evaluation should defer. So in the context of games, then the most direct way of measuring is how much behind are people actually spending in this world that you create? And if your goal is to say, for example, in the context that we just talked about, like, hey, deploying, deploying action in body, a agent, then your, your end.[00:33:33] Metric is then, okay, after training in these worlds that you generate how robust it is to when you actually deploy to the target environment. But then, it's, it's hard to measure these end metrics. So today people have like these proxy metrics that I call that basically try to measure what we really care about, which is the end metrics, but then frankly it's different for every use case.[00:33:57] Yeah,[00:33:57] Vibhu: which seems like quite a challenge, right? Like in [00:34:00] in language models or video models. Image models, your benchmarks are proxies, right? People aren't actually asking instruction, following tool use questions. They're proxies of how well it will do downstream. But for this, so like, should teams, should companies have their own individual benchmarks outside of games?[00:34:16] If you think of stuff like, okay, video production, movies, stuff like that, that also want to use world models. Should, should they sort of internalize like. Their own proxy. Is this something you guys do? Where, where does that connect[00:34:28] Chris Manning: go? Yeah, I think this whole space is extremely difficult as things are emerging now.[00:34:35] And I mean, it's not only for world models, I think it's for everything including text-based models, right? ‘cause in the early days it seemed very easy to have good benchmarks ‘cause we could do things like question answering benchmarks and could you answer the question based on these documents and the various other kinds of, do pieces of logical reasoning or math.[00:34:58] But again, these are sort of. [00:35:00] And there were sort of visual equivalents of things like object recognition, right? For these small component tasks. These days so much of what people are wanting to do also with language models is nothing like that, right? You're wanting to, have an interaction with the language model and get some recommendations about which backpack would be best for you for your trip in Europe next month.[00:35:25] And it's not the same kind of thing, right? And it's not so easy to come up with a benchmark as to does this large language model give you an effective interaction for guiding you in a good way for shopping, right? So, and it's the same problem with these world models. So if we take the game design case, well success is that a game designer can.[00:35:57] Produce what they are [00:36:00] imagining in a reasonable amount of time. And that's really the kind of macro task. That's a very hard thing to turn into a benchmark and I think a lot of this is actually going to turn into people walking, walking with their feet. Right? I mean, I guess that's what's happening, at the large language model level, right?[00:36:23] When people are choosing to use, GPT five or Gemini or clawed, individuals are trying out these different models and deciding, oh, I like the kind of answers that GT five gives me, or no, I feel like I get more accurate detail from Claude, right?[00:36:43] Vibhu: It's a lot of[00:36:43] Chris Manning: vitech, a lot of people just using it.[00:36:45] It's vibe checking. I realize that, but it's actually whether. People feel it's giving them utility in what they want. Right.[00:36:52] Vibhu: And the the interesting thing there is like a lot of people prefer the visual, right? This looks pretty, which is not the objective of what this is [00:37:00] for, right? It's if a, if a game designer is working on something, they care about the game engine, right?[00:37:04] The state, it's, it can look whatever. You can fix that up later. Or you can have a really good game state and you can quickly edit it to 20. 20 different versions, like Keep State,[00:37:14] Chris Manning: right?[00:37:14] Vibhu: So[00:37:14] Chris Manning: that's a really important distinction, for and for speaking to Moon Lake strength, right? So, yeah, great visuals are lovely to look at for a few seconds, but gains are really all about the concept, the game play.[00:37:33] And a lot of the time that doesn't actually even require great visuals. I mean, there are just lots of very successful games which have relatively primitive visuals, and there are other games where people have spent millions producing photo realistic, visuals, and the game sucks, right? So, keeping those two axes apart is really important in thinking about what's important in a [00:38:00] world model for different uses.[00:38:02] swyx: This conversation is reminding me of some game review and fiction discussions I've, had in my sort of non-AI related life. Some, for some people might know Brandon Sanderson, who's a very famous, fiction author, had, is is a big game reviewer. And he, he's a big fan of video games where you change one thing about a normal what you might assume about, about the world.[00:38:22] For example, Baba is you, I don't know if you might have come across that, where like the rules change as you play the game. And also like where, you can do things like reverse time selectively or like change gravity selectively. And I think this is also reminds, reminds me of other kinds of world models that are created by authors.[00:38:38] Where Ted Chang is, is my typical example where he'll take the world that, you know today, but change one thing about it and, but then create a consistent world based on that. Which is long-winded answer of me to, of. For me to say is it's it easy to create alternative roles that don't exist, but you change one thing and then let's, let's run a whole bunch of people through it to see if it works.[00:38:58] Chris Manning: My first dance will [00:39:00] be, that seems a lot easier and more conceivable to do using Techn technology like Moon Lakes than with some of the other world models out there, where the sun can actually make it happen. I'll let him give a second answer.[00:39:15] swyx: If I guess for you, you're constrained by the game engine tool, right?[00:39:18] Like at the end of the day, that's the, that's the thought, partner that you have. If I ask for something where like, if it never is allowed to reverse time or if gravity only ever works one way, then well that's it. But sometimes gravity might change,[00:39:33] Fan-yun Sun: but it's a lot easier to change with code as opposed to a model that is learned primarily on data of.[00:39:42] Real world and virtual worlds that are, I guess, like for example, junior, like there's actually trained on a lot of real world data and a lot of virtual gaming data, and it's hard to say maybe it's easier to say, okay, I wanna change the visuals in like the time period of, of the world. Like, you can't change gravity, for [00:40:00] example.[00:40:00] Vibhu: I feel like you can to light bounds, right? Everything comes down to like, code is a better way to execute it, but the models aren't that diverse and creative, right? You can say, okay, make gravity slower. It can do that, but it's limited to your representation of how you text it out, right? Like they're, they're only gonna do a few iterations, whereas programmatically, if there's a game engine under the hood, you can kind of go wild, right?[00:40:22] So one of the, I dunno, one of the limitations of most models is that they're very overtrained to one style. Right. And extracting diversity is pretty difficult. At least that's something we've seen.[00:40:35] Fan-yun Sun: I mean, are there examples you have in mind where you Existing models? Yeah. Like it would be easier to do that's not using code.[00:40:43] Certain types of creative intent or like transition state transitions,[00:40:47] swyx: Clipping, other models, other wo models are very good at clipping through things. Clipping my, my, my legs clipping through a rock because it's, it's just, it's just bad. [00:41:00] Like, you would have to struggle very hard with your stuff to actually make that happen.[00:41:04] Which I think is maybe a topic that you actually prepared on, Gian Splatting versus, the other stuff.[00:41:09] Vibhu: Yeah. Yeah. It's just for those not super familiar, right? There's a, there's gian splatting, there is diffusion. Like what works, what scales up. I feel like in February when Soro one came out the blog post was literally titled like,[00:41:21] swyx: you bring it up.[00:41:22] You never know.[00:41:23] Vibhu: World, world, video generation models are world simulators. It's super bitter lesson pilled. Yeah, emer, a lot of it is emergence, right? So, not to go through their blog post, basically their whole thing was as you scale up all this consistency, all this stuff just kind of solves, it's a very simple premise, right?[00:41:41] They just scaled up, diffusion, and from there, this is, this is Feb 2024, how much can we, it's already been two years, which is basically five years. How much more in AI time do we need to just scale up or, or do we hit a data cap? But I think we already talked about this a lot, right? Like this is back to the beginning discussion of what's [00:42:00] appropriate for the time.[00:42:01] And that seems like your approach, right?[00:42:03] Fan-yun Sun: Yeah. The point I'm trying to make is that they're very many, many different types of world simulators and like having a world simulator that can produce pixel coherency is very, very useful for games and, marketing and all these things, but it's not as useful as people think when it comes to causal reasoning.[00:42:25] When it comes to embodied ai. Yeah, like it this title is true. We're not saying that it's, it's like, not a great world simulator, but actually in the blog that we, we, we, we wrote, the bet is more so that there are gonna be disproportionately large share of value of real world tasks or, and virtual tasks where high resolution pixel fidelity is not needed.[00:42:47] Yes. Video models have their values.[00:42:50] swyx: Yeah. This is at the absolute limit of my physics understanding, but one example that comes to mind is basically having to solve like ba the equivalent of a three [00:43:00] body problem in a deterministic Well, where the video models, which is approximated good enough. Yeah.[00:43:08] Right. Like there's, there's some point at which your approach kind of runs into like the you now have to simulate the world. Please, thank you very much. And like you're trying to do that, but only to the extent that the game engine lets you and like game engines cannot do some things.[00:43:23] Fan-yun Sun: Yeah, no, I mean, I think the interesting or more technical question here actually is where do you draw the boundary between.[00:43:32] What's handled with, let's say, diffusion prior and what, when? What's handled with symbolic priors?[00:43:38] swyx: Yes.[00:43:38] Fan-yun Sun: Okay.[00:43:38] swyx: Okay.[00:43:39] Fan-yun Sun: Right. Let's go there. Because this, this boundary can actually be fluid. Like I think like maybe what you're trying to get at is like, okay, people are saying pixel prior, everything. But what we're saying is, okay, there's a boundary that we draw where this is where we think provides the most economical value for the domains and things that we care about today.[00:43:59] [00:44:00] And I actually do think, and it's something that we do internally all the time, which is like, okay, given new equations that we learn or new elements of the world and that we, we learn, or maybe some other knowledge that we acquire in the process of developing the models. Should we still be maintaining this line exactly as it is today?[00:44:22] Or should we move it a little bit left or a little bit right? Right. Like sometimes that we realize that, oh, like maybe customers or, or folks like want certain things that are better handled with preop pryor as opposed to, symbolic prior than,[00:44:34] swyx: yeah. Your, your skin thing is a, is a example moving it, right.[00:44:37] Yeah.[00:44:37] Or left. Yeah,[00:44:37] Fan-yun Sun: exactly.[00:44:38] swyx: I dunno what the, the left right is.[00:44:39] Fan-yun Sun: Yeah, yeah, yeah. No the, the model.[00:44:42] swyx: Yes.[00:44:42] Fan-yun Sun: Actually we have a few iterations of them. They're actually at slightly different[00:44:45] swyx: I know boundaries. You should, you should do that. That's a cool dimension to show.[00:44:49] Fan-yun Sun: Yeah.[00:44:50] swyx: Is quantum mechanics the diffusion prior of our world?[00:44:55] Right. It's like that's the boundary of classical mechanics versus quantum. Right? Like, that's it. At one [00:45:00] point God plays dice and the other point doesn't.[00:45:02] Fan-yun Sun: I dunno if Chris, you wanna say it, but I think, I think generally I feel like physics is better with symbol P priors.[00:45:08] Chris Manning: Even quantum physics.[00:45:09] Fan-yun Sun: Even quantum physics.[00:45:11] swyx: Yeah. This is starts against to, MLST territory is, is what I call it, where, he, he likes to get philosophical. We, we we're quite friendly.[00:45:18] Vibhu: I mean, we need to get, we need to get singularity. I heard some of that.[00:45:23] swyx: No, no, I think that is actually really helpful and man, I just want you to productize this like, as a product guy, I'm just like, oh, also[00:45:32] Vibhu: a gamer, I[00:45:33] swyx: wanna, it's like a researcher, like, it's cool.[00:45:35] Like this is a, the theoretical, like you have a very good, I don't know, like the way of thinking about these things, but I just wanna see you like, express it. I do think like your fundamentally things when, when you leave open new tools, like, okay, use, use human intent to incorporate it into how you render.[00:45:52] Artists are gonna have to take like two to three years to figure out what to do with this. And you just don't know.[00:45:57] Chris Manning: Right. But I think, this is, [00:46:00] gives a much more approachable and controllable world for the society, which is the beauty, the beauty of, NLP, that that will enable it to be adopted and used.[00:46:10] And we are very hopeful about that. Yeah,[00:46:13] Fan-yun Sun: yeah. Yeah. I mean, we are, we are very focused actually on commercialization in the sense that like we do, we do really believe in the data flywheel app approach. Yeah. Where, we put this in the hands of the creators and the users and then they will teach us when, what capability our model should improve.[00:46:27] And that's why we are, we are actually, like products and beta[00:46:31] swyx: Yeah. Focusing on gaming. What, what's like the adjacent thing to gaming[00:46:34] Fan-yun Sun: embody adjacent, basically. So maybe we can, we can I'll maybe start with where we see the platform in three years. Yeah. Which is like, okay. The users would tell us what they want to achieve.[00:46:45] The end goal could be, Hey, I just, I wanna make something to teach my kids the value of humility. Or it could be, Hey, I wanna fine tune my, drones to be really good at rescue situations. I could be vacuum robots. I want to like train [00:47:00] my manipulation or like vacuum robot to be very robust to my office, right?[00:47:04] But it's like, whatever it is, scenario robust to[00:47:06] swyx: my office[00:47:07] Fan-yun Sun: or like navigate very robustly in my office. But then it's like, whatever end goal that you want, our role model will say, okay, given what you want to achieve, let me generate a distribution of environments such that I can train and evaluate whatever it is you want.[00:47:24] Yeah. Right. Maybe for the purpose of games, it's just the end simulation and that's the end product for certain policies. It's like I can train it within these environments and then help you see where your policy is failing or not. Yeah. And then, so I think,[00:47:37] swyx: so in that case, much more of a training tool.[00:47:40] Than in other training[00:47:41] Vibhu: evaluation? Both. Right?[00:47:43] swyx: Sure. Same. Same thing.[00:47:43] Fan-yun Sun: Yeah, same thing. I think it's just this role model that allows people to train any policy that can act in any multimodal environments.[00:47:51] swyx: Would it be harder to reward hack? Is there an angle here where it is harder to reward hack? Like it's just, I'll just put it generally because I think that's a, that's obviously a key [00:48:00] problem that a lot of people face when in training agents in these environments, and I don't know, can you solve it?[00:48:07] Chris Manning: I think not necessarily. To the extent that there's a mis specified reward that. It seems like it could be hacked in a more symbolic world or in a more pixel based world. I dunno if Sun's got any thoughts, but I don't think that's really being solved.[00:48:26] swyx: The other thing that comes to mind is just you could just build a better sawa as a video generator model, right?[00:48:31] Because then you, you would move the diffusion, side a bit more further to the right. I think if I got the directionality correct. And that's it.[00:48:40] Vibhu: It's better on domains, right? Like on consistency over now, or for sure it exists versus something doesn't, right.[00:48:46] Chris Manning: So[00:48:46] swyx: yeah. Yeah. Is[00:48:49] Vibhu: is a question more like, like[00:48:51] swyx: I'm just riffing on like, how do you, what can you build, you know?[00:48:54] Oh, with the stuff that you have. I do think that the minor, the academic does go immediately to training [00:49:00] and in eval evaluation, but like art tends to take unusual directions. Like you might end up,[00:49:06] Chris Manning: okay. Yeah. But the question is, can you use this piece of software to develop compelling gameplay and. I don't think you can take SOAR and produce compelling gameplay, right?[00:49:19] If you want to have a world that you can wander around in a bit, you are good. But what are your abilities to have gameplay mechanics implemented the way you'd like them to be and to have things stay, with the long-term history of your gameplay that influences future actions. I think there's just nothing there for that.[00:49:39] swyx: Yeah, I do tend to agree. I, I'm just trying to sort of test the boundaries. I would also make the observation that as AAA games industry has developed the line between what is a movie and what is a game has blurred. And you, you, you do end up basically producing a two hour movie as part of your game.[00:49:57] Fan-yun Sun: No, honestly, there, there's so many actually [00:50:00] applications in adjacent markets that our world model can go into. Yeah. But yeah, it, it's sort of fun to riff, riff on. Although on the execution side, we we, we need to stay focused with like, okay, what are the capabilities we want to unlock over time?[00:50:11] And there's a roadmap for that. But yeah, if we're just riffing on sort of like the possibilities, I feel like, whether it's endless Yeah, it's like classic[00:50:18] swyx: and the embedding for a possibility and endless in my mind, it's very close. Yeah. I do wanna, focus on one, like weird choice. I, I don't know if it's weird.[00:50:28] Maybe I'm, I got something here. Audio, right? You could have just said no audio And audio in my mind has a lot of recursion, whereas in video you can just do recasting and that's much computationally much simpler. Audio just seems way harder. I don't know if you wanna just comment on just the special 3D audio.[00:50:46] Problem. Did you really have to do it? I guess you do to be immersive, but like a lot of people do treat it as like, well, you just stick a, a tt S model on top of[00:50:57] Vibhu: Well, there's a lot more to game audio than [00:51:00] just speech. Right. It's not just[00:51:01] swyx: tts. Yeah. Tts. S Fxt, GM Spatial in my mind Echoes[00:51:06] Chris Manning: Yeah.[00:51:06] swyx: And reflections.[00:51:07] And I, I don't even know what's, what else? I don't know what, what other problems in this space.[00:51:13] Fan-yun Sun: Yeah, I think this point like the, it's sort of a more, more pointing to the benefits of using an game engine as a tool that's available to the model, right? Because like part of the spatial audio is from the code that is underlying the simulation.[00:51:32] And while we do give our model access to other types of audio models as. Tools.[00:51:39] swyx: None of them would be spatial, I think.[00:51:41] Fan-yun Sun: But that's exactly sort of more 0.2. We're giving our model an abstraction or a suite of tools such that it's able to achieve that. And you can argue that sort of spatial is like a, like a emergence out of the, the tools that we and abstraction that we provide to the agents.[00:51:59] And I think that's the beauty of [00:52:00] this, this, this approach is like there's a lot of things kind of like how human's built technology and they're like Lego blocks that build on top of each other. And it's the same thing here. There's gonna be things that sort of just sort of emerges from being able to put these things together in like combinatorially interesting ways,[00:52:14] Chris Manning: right?[00:52:15] So this integrated audio model exploits the understanding and semantics of the Moon Lake world, right? And whereas in general for the Gen AI video models. There's no actual integration across to audio at all, right? That someone might stick some music or stick a soundscape or whatever else on top of their video.[00:52:44] So it's not a silent video, but they're in no way connected into a consistent world model. And there's nothing that's okay. An action is happening in the video. Therefore there should be a sound that's [00:53:00] coming from this part of the visual field.[00:53:03] swyx: Yeah.[00:53:03] Vibhu: Is that different than Sora too? Does it not have audio?[00:53:06] Not to say it's not like[00:53:08] swyx: amazing[00:53:08] Vibhu: isn't a spatial[00:53:09] swyx: audio.[00:53:09] Vibhu: It doesn't,[00:53:10] swyx: no. I've played around it with it enough. It just sounds like someone put an 11 laps voice on top of it and just tried to do the lip sync.[00:53:18] Vibhu: Oh, yeah. I've seen, okay. Generate a dog at the beach and reactions to big wave and move[00:53:23] swyx: around.[00:53:23] It's definitely like, so have the dog, have the dog move away from camera and see if the, the song goes down. It doesn't. ‘Cause they don't have facial audio.[00:53:32] Fan-yun Sun: We do want to basically like we, our moral model, like the one we're training is basically towards the goal of having a combined latent representation across all these different modalities.[00:53:42] Right? Such that it can like reason across these different modalities. So for example, if I close my eyes and like you play a video, you play a sound of like a car skidding away from me. I almost can like, visually extrapolate that trajectory in my mind. And I think that type of capability, we want our model to be able to reason, right?[00:53:59] And that's the reason that [00:54:00] we're sort of taking this multimodal reasoning approach. It's like we want this combine late in space that can[00:54:05] swyx: Yeah. Oh, you said late in space. We like that. Here we have to play the, the bell Every time that someone says late in space, no, you gotta train daredevil one. Where you, you, you, it's only audio, but you have to work out.[00:54:15] Where everything is.[00:54:19] Cool. I I think that that was, that was about it for our Moon Lake coverage. I do think that we have like a couple of, Chris Madden questions on, on IR and, just any, any other sort of attention topics or n NLP topics.[00:54:31] Vibhu: Okay.[00:54:31] swyx: Go ahead.[00:54:32] Chris Manning's Journey: From NLP to World Models[00:54:32] Vibhu: Well, no, I mean, yeah, it's just fun. We talked a bit about how you guys met, but you basically, you, you were like the godfather of NLP per se, right?[00:54:39] You spent the whole career from early embeddings, early early attention. You did 2015 attention for machine translation, everything. You, you had information retrieval, so RAG before rag, we just wanna shout that out and admire a lot of that. Right? So what prompted the switch over to world models?[00:54:56] How, how'd all that come about?[00:54:58] Chris Manning: To some answer it [00:55:00] is, the enthusiasms and creativity of students, but there's a bit of a history there, right? So, yeah. So clearly most of my career has been doing stuff with language and how I got into research was thinking, ah, this is just so amazing how humans can produce speech and understand each other in real time.[00:55:21] And somehow they managed to learn languages from their kids. How could this possibly happen? And so, yeah, starting off I was very focused on language, but as it sort of got into the 2000 and tens, I started, going, I'd been working on question answering, and then I started to get, interest in visual question answering.[00:55:42] And that was an area where it was very noticeable. That the visual understanding was bad. Right. These were the days when like, it sort of seemed like there's almost no visual [00:56:00] understanding. You were just getting answers that came from priors. So, if you asked how many people are sitting at the table, it'd always answer two regardless of how many, how many people you could see in the picture.[00:56:11] And so it seemed like, oh, these models actually aren't able to get semantic information outta

Heute spreche ich mit Dr. Christian Colceriu, Leiter des Design Labs bei Krones AG. Sein Weg führt vom technischen Zeichner über Industrial Design bis zur Promotion an der RWTH Aachen. Wir sprechen darüber, warum Maschinen nicht am Preis scheitern, sondern an schlechter Mensch-Maschine-Interaktion. Christian zeigt, weshalb Human Centered Design im Maschinenbau kein Nice-to-have ist, sondern ein echter Wettbewerbsfaktor. Eine Folge über Karriere jenseits des Standards, Design mit Verantwortung und warum Technik ohne Menschendenken teuer wird.Mehr über Christian findest du hier: https://www.linkedin.com/in/dr-christian-colceriu-735961b4/Mehr über Ingenieurshelden findest du hier: ⁠https://ingenieurshelden.de/

Pathfinder Church | December 7, 2025 | Dion GarrettOur society has had a historically unique stretch of prosperity. The last seventy years have been marked by an almost uninterrupted growth in wealth, technology, and the creature comforts of life. But is this exceptional stretch of comfort the source of joy, or has it actually clouded our ability to experience pure joy?Website | https://pathfinderstl.orgOnline Giving | https://pathfinderstl.org/givePodcasts | https://pathfinderstl.org/podcastsFacebook | https://facebook.com/pathfinderstlInstagram | https://instagram.com/pathfinderstlSt. John School | https://stjls.orgContact Us | churchinfo@pathfinderstl.org

Les rapports sur les usages du numérique par les jeunes se succèdent, et pour la plupart ils préconisent de réguler, de protéger voire d'interdire. Dans ce domaine comme dans d'autres, les jeunes sont rarement consultés sur les outils et services numériques qui régissent pourtant une grande part de leur vie personnelle, scolaire, affective. Et si éduquer à la citoyenneté numérique, c'était d'abord leur redonner du pouvoir sur ce qu'ils en font et sur ce que ça leur fait ? Pour nous, éducateurs, cela signifie comprendre les besoins qui sous-tendent les usages, valoriser les pratiques positives et suspendre un temps nos craintes ou nos représentations « d'adultes ». Dans cet épisode, nous mettons l'accent sur des projets qui visent l'émancipation des élèves, et futurs citoyens, en partant de leurs pratiques réelles et de leurs compétences.Avec :Axelle Desaint, directrice d'Internet Sans Crainte, programme national d'éducation au numérique des jeunes et des familles.Jocelyn Lachance, responsable de recherches en sociologie au Crédat, le centre de réflexion sur le devenir adulte et le travail social, au sein de l'Institut du travail social Pierre-Bourdieu (Pau).Nicolas Bourgeon, professeur-documentaliste dans deux collèges ruraux de l'Aveyron.Et l'interview de Melina Solari-Landa, chercheuse associée au laboratoire Techné de l'université de Poitiers et chargée d'études à la direction de l'innovation de Canopé.Toutes les infos des Semaines de la citoyenneté numérique sur CanoTech.(Ré)écouter Comprendre les pratiques numériques des adolescents - Les Énergies scolaires #60.Consultez aussi :La charte pour l'éducation, la culture et la citoyenneté numériques (éduscol).Internet sans crainte et sa page L'IA et ma citoyenneté numérique Cycle 4-Lycée.J. Lachance, Grandir inquiet à l'ère des réseaux sociaux, Érès, 2025.Chapitres00:00 Intro03:42 Changer de regard sur les pratiques numériques des jeunes15:10 Prendre appui sur les pratiques des jeunes : entre posture de prévention et d'accompagnement27:04 La citoyenneté en action : émanciper et redonner du pouvoir d'agir45:35 InspirationsExtra classe sur vos plateformes d'écoute https://smartlink.ausha.co/extra-classeExtra classe, des podcasts produits par Réseau Canopé Émission préparée et animée par : Hélène Audard, Régis Forgione Réalisée avec l'appui technique de : Nadjim Mioudi, Yoann Hatchi, Youenn Chevalier Directrice de publication : Marie-Caroline Missir Coordination et production : Hélène Audard, Magali Devance Réalisation et mixage : Simon Gattegno Remerciements à l'Atelier Canopé de Champigny Contactez-nous sur : contact@reseau-canope.fr © Réseau Canopé, 2025Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Khullani Abdullahi is the founder of Techné AI, a Chicago-based consultancy that helps organizations adopt and govern artificial intelligence responsibly. In this episode, KJ and Khullani discuss the realities of AI adoption in business, the coming "white collar depression," and how leaders and organizations can prepare for a rapidly changing future. Khullani shares her journey from Somali refugee to tech entrepreneur, and offers practical advice for navigating disruption, building resilient teams, and staying ahead of the curve. Key Takeaways: [0:00] Extraordinary leadership in the age of AI requires transparency, adaptability, and preparing teams for change. [08:41] Most organizations are unprepared for AI adoption, leading to chaos and confusion; Khullani helps companies move beyond hype to real strategy. [19:56] Khullani’s background as a Somali refugee shaped her drive for security, adaptability, and non-traditional career choices. [38:24] The majority of white-collar workers may become redundant in the next 10 years; only the most creative and adaptable roles will remain. [49:26] Leaders must invest in AI education and create open cultures to ensure their teams’ future success—even beyond their current organization. [25:35] Khullani warns against over-reliance on AI: “Be mindful of striking a balance and ensuring that your own amazing, extraordinary cognitive critical thinking analysis, synthesis skills…that you don’t abdicate all of that beautiful capacity and capability by overlying on the tools.” Quote of the Show [25:35]:“We are seeing human intellectual ability degrade in real time as we outsource more of our thinking to the machines and to the algorithms. I would be very mindful of striking a balance and ensuring that you don’t abdicate all that beautiful capacity and capability by overlying on the tools.” — Khullani Abdullahi Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Khullani Abdullahi: LinkedIn: https://www.linkedin.com/in/khullani Company Websites: https://techne.ai/ How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

Follow us into the winter of ’88 going into ’89 as we step into the final year of the decade and bid adieu to President Ronnie when he exits the White House. In the arcades, fists are flying with the likes of Technōs’ sequel to Double Dragon, SNK’s third Ikari Warriors game and SEGA’s prettyContinue reading "VIDEO WIZARDS PODCAST – Episode 31: Winter 1988/1989"

In this episode, Liz and Rachel walk you through 10 essential tips for using Google Docs more efficiently with JAWS. Learn how to adjust accessibility settings, navigate documents with ease, create and rename files, use Find and Replace, get dictionary definitions, format text, manage tabs, and use JAWS Quick Keys for streamlined editing. Whether you're new to Google Docs or just looking to improve your workflow, this episode is packed with practical insights to help boost your productivity. Learn more and access additional training resources at FreedomScientific.com/Training

Auf der Suche nach den verlorenen SeelenatomenHörspiel von Susann Maria Hempel Das Radiostück basiert auf Gesprächen mit einem ehemaligen DDR-Häftling, der im Gefängnis einen schweren Schock mit darauffolgender Amnesie erlitt. Als vermeintlichem Republikflüchtling wurde ihm ein "Grenzproblem" übergestülpt, das nicht seins war. Und dann hat er eine Grenzerfahrung ganz anderer Art gemacht: Im Gefängnis sei die Seele aus ihm "rausgemacht" worden, sagt er. Und sie ist bis heute nicht heimgekehrt in ihr Gefäß. Er denkt sie sich dennoch gut aufgehoben – dort nämlich, wo ihr immer am wohlsten war: im Wald. Als sein ältester Freund starb, beginnt der Häftling, der Autorin von seinem Leben zu erzählen. Sie wird auf die tiefe Verbundenheit aufmerksam, die beide zum Wald hatten. Ihr ganz eigener, in der Kindheit wurzelnder Mythos des Waldes wurde mit dem Tod des Freundes wieder lebendig. Und in gewisser Weise hat die Autorin das Erbe ihrer Freundschaft angetreten. So, wie sich einst das Gesicht des Einen vor dem Anderen hob, hebt sich nun das Gesicht ihrer Freundschaft vor ihr. Techn. Realisation: Nikolaus LöweRedaktion: Mareike MaageProduktion: RBB 2018Hörspiel des Monats November 2018 Hörspiel des Jahres 2018 Hörspielpreis der Kriegsblinden 2019

Send us a textSummaryIn this episode of Clarity from Chaos, host Dave Campbell engages with Sam Sorbo, a bestselling author and advocate for homeschooling. They discuss the implications of closing the Department of Education, the superiority of homeschooling over traditional schooling, and the dangers of government funding in education. Sorbo emphasizes the need for parents to take an active role in their children's education and critiques the current educational system for its lack of accountability and focus on indoctrination rather than true learning. In this conversation, Sam Sorbo discusses her journey into homeschooling, the misconceptions surrounding socialization in education, the impact of technology, and the importance of critical thinking. She emphasizes the need for parents to take an active role in their children's education, especially in light of the challenges posed by the COVID-19 pandemic. Sorbo also critiques the current state of higher education and encourages parents to empower themselves and their children through homeschooling.  TakeawaysThe Department of Education should be closed according to the Constitution.Homeschooling consistently outperforms traditional schooling in standardized tests.Government funding for education often comes with strings attached that can undermine homeschooling.Parents should be cautious about accepting government money for education.Education should focus on teaching children to think critically and seek truth.The current educational system is more about indoctrination than true education.Homeschooling allows for a more personalized and engaging learning experience.The government has a vested interest in maintaining control over education.Parents need to redefine what education means for their children.True education involves imparting values and teaching children to discern truth. I took him out of school at the end of second grade.We read the Bible every day, basically every day.What is socialization?You need to limit the electronics.You are giving the internet access to your child.Schools do not care about you or your children.School is a cult and you've bought into it.The jig is up.You will have a relationship that you never dreamed of.You need to define for me, what is socialization?Support the show"Wherever you find yourself is exactly and precisely where God wills you to be" Support our show at the following: https://www.buzzsprout.com/2063276/support Follow us on X: @CFC30290 Follow us on Rumble: https://rumble.com/c/c-3123766 Website: https://clarityfromchaospodcast.buzzsprout.com/ Thanks for listening to Clarity from Chaos

Send us a textIn this episode of The Family Office Club Podcast, Joe Williams, co-founder of Keller Williams, moderates a fascinating conversation about the technology and tools shaping the real estate and investment industry. The panel of experts discusses the evolving role of technology, from basic calculators and spreadsheets to the impact of AI and data modeling tools. Despite advancements, the group emphasizes that real estate remains fundamentally a relationship-driven business, with boots-on-the-ground work and human connections still at the core of success. The conversation also delves into the unique dynamics of niche markets, the importance of local insights, and how human intuition often trumps tech-driven data when it comes to making key decisions. Tune in to hear how these seasoned professionals balance technology with time-tested strategies in today's fast-paced market.

Hello and welcome friends, happy Valentine's Day. For this month, we have amazing tunes for you, including Budakid, Birds Of Mind, Dario Nunez, Ranta, and remixes by BLR, Booka Shade, AVIRA, and so much more. Also, my brother from another mother Sabastian Letters teamed up with Daniel Jimenez and gave to birth to a new project called Substant. They just put out the first EP under that project and I'm super excited to play the first single. To close out the February 2025 edition, we have a classic from one-half of Way Out West, released in 2006. Hope you enjoy this month's show. Cheers. YO -- Join us every 2nd Friday of the Month on DI.FM Deep House Channel or on YouTube. 12:00 EST | 18:00 CET | 17:00 GMT -- If you like the show, consider leaving a Rating & Review on Apple Podcast. View the tracklist here. More Info: ohtm.show

A serious music collector, with a deep knowledge across all genre's ishotjr was a natural and easy pick for us, to expand he pick & mix show to some folks who truly support the station in what we're trying to do. Look for more collab's in the very near future between ishotjr & Brother Soul.Follow us at:  @labr@ravenation.club to be in the know of ALL things #labr #loveabrotherradio  If you're on the go?  Android: RadioDroid App https://play.google.com/store/apps/details?id=net.programmierecke.radiodroid2&hl=en_GB&gl=US iphone:  Cuterdio https://apps.apple.com/de/app/cuterdio-internet-radio-app/id1489513385 Do A Search for LABR, & There You Are. Streaming 24/7 all the LABR Collective Members shows that you might've missed.  And a few extras in between. Enjoying this love we're spreading? Want to support LABR - Love a Brother Radio in spreading that love? Now you can. Get yourself a mug, and a hoodie. Introducing: LABR Threads N Thangs  https://labrthreadsnthangs.co.uk/ Any little thing helps us feed the Keebler Elves to keep the wheels turning in the background. We're a 2 1/2 person operation. And a lot goes into making this work properly.  With that said, we all thank you in advance for any support you lend.  WE Thank so much in Advance. We thank you ALL for your support, love, and ears

Step into a world where swords meet fire, and the beat ‘em up action is hotter than ever! Released in 1993 by Technōs Japan, Blades of Fire is a fiery fusion of classic side-scrolling brawler action and fighting game flair. Imagine walking through a burning village, surrounded by mythical monsters, wielding your sword like a true warrior, and unleashing epic special moves straight out of your favorite fighting game. With four unique characters—each packing their own wild attacks—you'll strategize, block, and strike your way through a brutal, fire-filled world.This game may not have been the biggest arcade hit, but it's got the kind of fun, challenging gameplay that'll keep you coming back for more. Whether you're playing solo or with friends, Blades of Fire delivers fiery combat, tough bosses, and moments of glory. Sure, the graphics are a little dated and the controls might feel a bit stiff, but if you love retro games and crave that old-school, arcade vibe, this one's definitely worth firing up. So grab your controller, pick your warrior, and prepare for a throwback adventure full of burning swords, epic battles, and good old-fashioned fun!

In this episode, Ron Miller explores the ins and outs of track changes, co-authoring features, and effective commenting to streamline teamwork on Word documents. Whether you're editing in real-time or reviewing suggested changes, learn how to make your workflow more efficient and accessible. Perfect for students, professionals, and anyone working on shared documents. Tune in to boost your Word collaboration skills today!  

Im BX Morningcall werden folgende Aktien analysiert und erklärt: Trane Technologies, Nasdaq Inc & Manhattan Associates Inc inklusive Rebalancing Kapitel: 00:00 3 neue Aktien

Zenga konferencián jártunk Hallgassatok Otykent mongol sámán technot 60 millió egy tiktok panel? https://www.tiktok.com/@melinda.turi/... MNB tetőtér ráépítés SAGA! - partizán    • Műemlékrombolás: Felálltam és azt mon...   KSH 2023-s adatok kijöttek https://www.ksh.hu/s/ingatlanadattar/... Hogyan lehet bírni, ha az ember ennyire sikeres, mint a Norbi Kalmárok facebook csoport, ahol kérdezhetsz, megoszthatsz, barátkozhatsz   / 343644851248767   A mikrofonnál: Görzsöny Péter, Szarvas Norbert és Csorba Dániel https://www.kalmarok.hu | Mél: haliho@kalmarok.hu Ez az adás elérhető a Portfolio Podcaster oldalán is: https://www.portfolio.hu/portfolio-po... Spotifyon is megtalálsz minket: https://open.spotify.com/show/5ryq5VW... Görzsöny Péter www.gorzsonypeter.hu Szarvas Norbert https://iflgroup.hu/ Csorba Dániel www.csorbadaniel.com

Netflix: 81 országban került a top10-be az új sikersorozat, 57,4 millió megtekintett órával simán lenyomta a kihívókat Mafab     2024-11-06 17:55:02     Film Netflix Szinkron A heti összesítő elején fontos megemlíteni, hogy akad egy film, ami nem került minden országaban vetítésre, szerencsére mi azonban élvezhettük, ráadásul olyan szinkronszínészek tolmácsolásában, mint például Mikecz Estilla. A hét nagy nyertese A szépség ára dominált, melyre a címben is utaltunk, és a Meg ne mozdulj. Halálos betegséget ábrázolt Michelangelo a híres képén Blikk     2024-11-06 17:38:57     Könyv Évszázadok óta kíváncsi tömegek csodálják a Sixtus-kápolna mennyezetét és esnek ámulatba Michelangelo Buonarroti újragondolt jeleneteitől a Teremtés könyvéből. Kevesen, ha egyáltalán bárki észrevehette, hogy a 300 alak közül az egyik hamarosan meg fog halni. A boltozat második födémén látható női mell részletes vizsgálata arra enged következtetni, Lehengerlő előzetest kapott Marlon Brando életrajzi drámája Igényesférfi.hu     2024-11-07 08:34:33     Film Mozi Hollywood Titanic 2025-ben fut be a mozikba a Waltzing with Brando című életrajzi mozi, mely egészen új fénytörésben mutatja majd be a 20. század egyik legnagyobb hollywoodi színészének személyiségét. A főszerepet a Titanic egykori rosszfiúja, Billy Zane játssza, s az első előzetes alapján a maszkmesterek csaknem tökéletes munkát végeztek. Kerülj ünnepi hangulatba! 12 darab, ami tökéletes lehet a karácsonyi időszakban Éva Magazin     2024-11-07 06:35:00     Karácsony Életmód A karácsony minden túlzás nélkül nagyon is közeleg, így most segítünk egy picit előre gondolkodni. Olyan ünnepi darabokat hoztunk, amiket nagyon megéri majd beszerezni! Technó parti, ahol a szülők gyerekeikkel buliznak NLC     2024-11-06 17:56:41     Színpad Wednesday Tört ütemekre a színpadról almalét feltörlő anyuka, a kamaszkorát újraélve ikszelő apuka, cukortól felpörgött, nyolcéves Wednesday Addams, Tilos-dj és letüdőzött szappanbuborék: a PomPom Party-n nincsen fék. Így buliznak önfeledten a szülők saját gyerekeikkel a legkeményebb elektronikus zenékre. Hatalmas elismerésben részesült Kamarás Iván édesanyja, Uhrik Teodóra Story     2024-11-06 18:00:32     Bulvár Elismerés A Kossuth- és Liszt Ferenc-díjas táncművész sosem erőszakoskodott vagy könyökölt, csak kinyújtotta a kezét és elfogadta, ami jött. Mi történik a gyerekemmel, ha én már nem leszek? – súlyos kérdésre keresi a választ az RTL+ Premium új dokumentumfilmje rtl.hu     2024-11-07 09:00:00     Film Dokumentumfilm On The Spot November 7-től elérhető az RTL+ Premium előfizetői számára Az életed nélkülem című dokumentumfilm. Rubi Anna alkotása az On The Spot ajánlásával érkezett a streaming platformra, Cseke Eszter és S. Takács András egyben a film társproducerei is. 36 éves lett Emma Stone - így jutott el a TV-től az Oscarig Origo     2024-11-06 20:04:05     Film Hollywood Oscar-díj Emma Stone TV-ben kezdte a karrierjét, ma már két Oscar-díj tulajdonosa. Emma Stone megjárta a hollywoodi "szamárlétárát". Elárverezik Dorothy húsz éve ellopott piros cipőit 24.hu     2024-11-07 10:14:22     Film Cipő FBI Az FBI 13 év után kerítette elő a Judy Garland által viselt flitteres lábbelit, most bárki megvásárolhatja. Az ellentmondásokban rejlő erő – Tulassay Ádám az Operaház új Requiem-produkciójáról Fidelio     2024-11-07 09:35:00     Zene Színpad Verdi Requiemje egyházzenei alkotás vagy színpad nélküli opera? Mi áll a középpontjában, a halálfélelem vagy a bizakodás? Ezekre a kérdésekre is keresi a választ az Opera új produkciója, melynek kapcsán a rendezővel, Tulassay Ádámmal beszélgettünk. Horrornak hirdetik, mégsem az a Holnap meghalok kultura.hu     2024-11-07 10:54:04     Film Mozi Mozikban az újabb magyar horrorfilm. A Post mortem ugyan lekerült a szűkített Oscar-listáról, azonban vitathatatlan, hogy horror. Ez utóbbi Cibulya Nikol rendezéséről nem állítható teljes bizonyossággal. A további adásainkat keresd a podcast.hirstart.hu oldalunkon.

Netflix: 81 országban került a top10-be az új sikersorozat, 57,4 millió megtekintett órával simán lenyomta a kihívókat Mafab     2024-11-06 17:55:02     Film Netflix Szinkron A heti összesítő elején fontos megemlíteni, hogy akad egy film, ami nem került minden országaban vetítésre, szerencsére mi azonban élvezhettük, ráadásul olyan szinkronszínészek tolmácsolásában, mint például Mikecz Estilla. A hét nagy nyertese A szépség ára dominált, melyre a címben is utaltunk, és a Meg ne mozdulj. Halálos betegséget ábrázolt Michelangelo a híres képén Blikk     2024-11-06 17:38:57     Könyv Évszázadok óta kíváncsi tömegek csodálják a Sixtus-kápolna mennyezetét és esnek ámulatba Michelangelo Buonarroti újragondolt jeleneteitől a Teremtés könyvéből. Kevesen, ha egyáltalán bárki észrevehette, hogy a 300 alak közül az egyik hamarosan meg fog halni. A boltozat második födémén látható női mell részletes vizsgálata arra enged következtetni, Lehengerlő előzetest kapott Marlon Brando életrajzi drámája Igényesférfi.hu     2024-11-07 08:34:33     Film Mozi Hollywood Titanic 2025-ben fut be a mozikba a Waltzing with Brando című életrajzi mozi, mely egészen új fénytörésben mutatja majd be a 20. század egyik legnagyobb hollywoodi színészének személyiségét. A főszerepet a Titanic egykori rosszfiúja, Billy Zane játssza, s az első előzetes alapján a maszkmesterek csaknem tökéletes munkát végeztek. Kerülj ünnepi hangulatba! 12 darab, ami tökéletes lehet a karácsonyi időszakban Éva Magazin     2024-11-07 06:35:00     Karácsony Életmód A karácsony minden túlzás nélkül nagyon is közeleg, így most segítünk egy picit előre gondolkodni. Olyan ünnepi darabokat hoztunk, amiket nagyon megéri majd beszerezni! Technó parti, ahol a szülők gyerekeikkel buliznak NLC     2024-11-06 17:56:41     Színpad Wednesday Tört ütemekre a színpadról almalét feltörlő anyuka, a kamaszkorát újraélve ikszelő apuka, cukortól felpörgött, nyolcéves Wednesday Addams, Tilos-dj és letüdőzött szappanbuborék: a PomPom Party-n nincsen fék. Így buliznak önfeledten a szülők saját gyerekeikkel a legkeményebb elektronikus zenékre. Hatalmas elismerésben részesült Kamarás Iván édesanyja, Uhrik Teodóra Story     2024-11-06 18:00:32     Bulvár Elismerés A Kossuth- és Liszt Ferenc-díjas táncművész sosem erőszakoskodott vagy könyökölt, csak kinyújtotta a kezét és elfogadta, ami jött. Mi történik a gyerekemmel, ha én már nem leszek? – súlyos kérdésre keresi a választ az RTL+ Premium új dokumentumfilmje rtl.hu     2024-11-07 09:00:00     Film Dokumentumfilm On The Spot November 7-től elérhető az RTL+ Premium előfizetői számára Az életed nélkülem című dokumentumfilm. Rubi Anna alkotása az On The Spot ajánlásával érkezett a streaming platformra, Cseke Eszter és S. Takács András egyben a film társproducerei is. 36 éves lett Emma Stone - így jutott el a TV-től az Oscarig Origo     2024-11-06 20:04:05     Film Hollywood Oscar-díj Emma Stone TV-ben kezdte a karrierjét, ma már két Oscar-díj tulajdonosa. Emma Stone megjárta a hollywoodi "szamárlétárát". Elárverezik Dorothy húsz éve ellopott piros cipőit 24.hu     2024-11-07 10:14:22     Film Cipő FBI Az FBI 13 év után kerítette elő a Judy Garland által viselt flitteres lábbelit, most bárki megvásárolhatja. Az ellentmondásokban rejlő erő – Tulassay Ádám az Operaház új Requiem-produkciójáról Fidelio     2024-11-07 09:35:00     Zene Színpad Verdi Requiemje egyházzenei alkotás vagy színpad nélküli opera? Mi áll a középpontjában, a halálfélelem vagy a bizakodás? Ezekre a kérdésekre is keresi a választ az Opera új produkciója, melynek kapcsán a rendezővel, Tulassay Ádámmal beszélgettünk. Horrornak hirdetik, mégsem az a Holnap meghalok kultura.hu     2024-11-07 10:54:04     Film Mozi Mozikban az újabb magyar horrorfilm. A Post mortem ugyan lekerült a szűkített Oscar-listáról, azonban vitathatatlan, hogy horror. Ez utóbbi Cibulya Nikol rendezéséről nem állítható teljes bizonyossággal. A további adásainkat keresd a podcast.hirstart.hu oldalunkon.

Keywords: Queer Rhetorics, Archival Research, Techné, Computing, Digital Storytelling. Patricia Fancher has a PhD in Rhetoric and studies rhetorical theory, feminist and queer rhetoric and digital media. She teaches Writing and Gender Studies, Digital Storytelling, Rhetoric, among other courses. Her research has been published in Peitho, Composition Studies, Rhetoric Review, Present Tense, Computers & Composition and Enculturation. She's also published creative non-fiction essays in The Sun, Huffington Post, Washington Post, Northwest Review, Catapult, and LARB. For more information visit thebigrhetoricalpodcast.weebly.com and @thebigrhet across social media platforms.

On today's show, Alex and Calvin are thrilled to be joined by Dr. Patricia Fancher, a Continuing Lecturer in the Writing Program at the University of California, Santa Barbara. In her fabulous new book Queer Techné: Bodies, Rhetorics, and Desire in the History of Computing, Dr. Fancher offers a groundbreaking history of how the Manchester University Computer and discourses about it were shaped by queerness, embodied gender performativity, and invisibilized gendered labor in the early 1950s. Some of the figures that Fancher's book offers new understandings of include Alan Turing, Christopher Strachey, Audrey Bates, and Cicely Popplewell, with each case study capturing how technical communication and technology development are about more than just usability, efficiency, and innovation. A recurring theme in Dr. Fancher's rhetorical reading of Turing and his colleagues is that there is something queer, performative, and playful about intelligence, and that these dimensions are mostly ignored by the hype around so-called “artificial intelligence” tools like large language models. To explore this theme, we chat about Christopher Strachey's rudimentary love letter generation program, comparing its output to ChatGPT's for similar prompts. We ultimately explore what Turing might have thought of LLMs, and how we can begin to ask queerer questions of our digital tools to produce more interesting and intelligent discourses and technologies. Works and Concepts Referenced in this EpisodeEdenfield, A. C., Holmes, S., & Colton, J. S. (2019). Queering tactical technical communication: DIY HRT. Technical Communication Quarterly, 28(3), 177-191.Fancher, P. (2024). Queer Techné: Bodies, Rhetorics, and Desire in the History of Computing. NCTE.Fancher, P. (2016). Composing artificial intelligence: Performing Whiteness and masculinity. Present Tense, 6(1).Haas, A. M. (2012). Race, rhetoric, and technology: A case study of decolonial technical communication theory, methodology, and pedagogy. Journal of Business and Technical Communication, 26(3), 277-310.Henrik Oleson exhibition about Turing.Matt Sefton and David Link's web version of Strachey's love letter programRhodes, J., & Alexander, J. (2015). Techne: Queer meditations on writing the self. Computers and Composition Digital Press/Utah State University Press.

Our training series for teachers and assistive technology instructors serves as a guide to use when teaching JAWS. Through its targeted lessons, quizzes, and a multitude of free resources, you will gain new skills to help you train your students and clients. Listen as Ron Miller gives a tutorial on how to read and edit text in JAWS. (Part 1 also available) For more Teaching Resources, you can visit https://www.freedomscientific.com/training/teachers/

They say timing is everything, and Chris's launch of the Passion Pod podcast just before the 2019 whirlwind certainly proves that. This episode takes you behind the scenes of his first season's inception. From strategic release that echoed a music album drop to a game-changing collaboration with Radio, Chris navigated the podcasting world with adaptability. Listen to the encounters with everyone from Jeff Dechesare (professional skateboarder) Scott Lipps (entrepreneur), and Dominique Dafney (Green Bay Packers Tight End) who shared their inspiring stories during a time when the world stood still.We examine what it takes to carve out your niche in a saturated creative marketplace. With special insights from an Eau Claire native leading a fast-paced life, we discuss the delicate balance between maintaining a social media presence and fostering genuine collaborations. Whether it's a Midwest upbringing or a universal drive for authenticity, our chat with Chris is inspiration for anyone that wants to make their mark, proving there's always space for your voice to resonate amidst the digital era's noise.0:00 Podcast Journey During Unpredictable Times9:18 Building Connections Through in-Depth Conversations17:19 Craft Beer and Life Reflections21:49 Finding Purpose Beyond Material Wealth26:46 Believe in Yourself and Be Successful36:47 Dealing With Imposter Syndrome in Creativity42:11 Overcoming Imposter Syndrome and Achieving Success48:21 Achieving Success in a Saturated Market57:06 Self Awareness and Confidence Balancing Act1:06:11 Social Media Reach and CollaborationCheck out our sticker packs at OnTapWithTheBoiz.com

Scott Eaton, multi-disciplinary artist & creative technologist, joins 80 Level Podcast. We discuss machine learning, its impact on human creativity, and the limitations & potentials of AI-generated content in gamedev. Scott shares his thoughts on future changes and possibilities for artists in the gaming world and tries to find a balance between art and technology.The episode was recorded at the VIEW Conference 2023: https://www.viewconference.it/ Scott's website:https://www.scott-eaton.com/ Scott's Twitter/X: https://twitter.com/_ScottEaton_  Check out Scott's online courses (Winter session starts in January): https://www.scott-eaton.com/courses Follow 80 LEVEL on social media:https://www.facebook.com/LevelEighty  https://www.instagram.com/eighty_level/https://twitter.com/80LevelWe are looking for more artists!Join 80 LEVEL Talent for free: https://80lv.pro/join-80lvTalentGet your work noticed by some of the biggest and best developers, publishers, and studios in video games today.This video is sponsored by Xsolla, a global video game commerce company with a robust and powerful set of tools and services designed specifically for the video game industry: http://xsolla.pro/8023

In this episode, we take a look back at 2023 and the rental trends reported by Rentsync and Rentals.ca. The Canadian housing market seems to be setting and breaking records each day, but does the good outweigh the bad? To help us make sense of Rentals.ca and Urbanations's report, we are joined by three of its influential contributors; the Product Manager of Data Services at Rentsync, David Aizikov, the CEO of Rentsync, Max Steinman, and the President of Urbanation, Shaun Hildebrand. The trio is here to walk us through their findings, which include the steady of flow new rental trends that have played out throughout the year, supply and demand numbers, the undeniable national crisis relating to the cost of living, and the possible impact that reduced housing may have once it enters the market from 2024 onwards. We also learn about the hidden opportunities of affordability, the fears that most prospective homeowners share, the communal relief that rent and housing is top-of-mind for mainstream media and policy-makers, and what renters and landlords can expect from the market in 2024 and beyond.    Key Points From This Episode:   Introducing three key compilers of Rentals.ca and Urbanations's annual rental report, David Aizikov, Max Steinman, and Shaun Hildebrand. Assessing the consistency of new rental trends that we've witnessed throughout the year. Supply and demand numbers, and the factors that affect them. The cost-of-living crisis.  Exploring the possible impact of reduced housing's addition to the supply in 2024.  Whether the softening of demand and leveling of rents is closer than we may realize.  Community upliftment and other opportunities of affordability. The fears of a prospective homeowner. What it means for housing and rent to be at the top of policy-making agendas.  How landlords and renters ended up understanding the other's perspective. What renters and landlords can expect from the market in 2024 and beyond.  Listen to the episode wherever you get your podcasts, Apple, Google Podcasts, or Spotify.

Join 80 Level Podcast for a deep dive into game design with Jamie Smith, Principal Game Designer at People Can Fly. We discuss the core principles that make open world games stand out. Jamie shares how to design captivating gameplay mechanics, maintain player engagement, and balance form and function. If you're a game developer or simply fascinated by the world of video games, this episode uncovers the creative and technical aspects that drive the industry forward.More about Jamie: https://linktr.ee/smithstock Some examples in the video used by JamieYakuzahttps://www.youtube.com/watch?v=CKiFfCE949s https://www.youtube.com/watch?v=k71rZSh0ipM Fallout: New Vegas Maphttp://www.gamemapscout.com/falloutnewvegas_interactive.htmlThe player starts at Goodsprings (to the left of the map), meaning they can only go up, right, or downElden Ringhttps://mapgenie.io/elden-ring/maps/the-lands-between Super Mariohttps://www.youtube.com/watch?v=pLl7lbbpjig Destiny 2https://www.youtube.com/watch?v=LLpD4KH6kwI Follow 80 LEVEL on social media:https://www.facebook.com/LevelEighty  https://www.instagram.com/eighty_level/https://twitter.com/80LevelWe are looking for digital artists!Join 80 LEVEL Talent for free: https://80lv.pro/join-80lvTalentGet your work noticed by some of the biggest and best developers, publishers, and studios in video games today.This video is sponsored by Xsolla, a global video game commerce company with a robust and powerful set of tools and services designed specifically for the video game industry: http://xsolla.pro/8023

Multifamily marketing has seen a variety of changes over the last year, particularly with the integration of AI advancements. Joining us today to unpack this evolution is our very own Allie Langohr, VP of Client Service at Rentsync. Tuning in you'll hear Allie shed light on how their team is incorporating AI into the Rentsync platform and the many ways AI tools are being used to support digital marketing efforts. Find out how ChatGPT is being utilized to generate property descriptions and the awesome power of image editing tools to elevate photographs with ease. Allie also provides a breakdown of Rentsync's new Infinity Bundle and gives a detailed account of its unique approach to helping clients maximize visibility across listing sites. For all the fascinating details on how Rentsync is incorporating AI tools into its platform and the evolution of multifamily marketing, be sure to tune in today! Key Points From This Episode: Introducing today's guest, Allie Langohr, VP of Client Service at Rentsync. How Allie and her team are incorporating AI into the Rentsync platform. Unpacking their implementation of ChatGPT and AI image editing technology. The role of AI in their digital marketing efforts. Why it's still necessary to have an expert editing AI-generated content. Updates on the latest developments in Rentsync's digital marketing. The positive results they've seen from delivering ads on TikTok. Their website traffic campaigns and why they recommend them to clients with new websites. Details on their solutions for collecting leads on TikTok. Google ads and methods for keeping these up to date. How they are achieving reduced bounce rates and better lead quality in Google ads. An overview of the new Infinity Bundle by Rentsync.   Listen to the episode wherever you get your podcasts, Apple, Google Podcasts, or Spotify.

Jean-Luc Ramdin of Cherokee Acquisition joins me to discuss how users who have crypto funds stuck on FTX, Celsius, BlockFi, Voyager, Genesis and more can recover some of these funds. Visit https://cherokeeacq.com/ & https://claims-market.com/ to learn more

Episode 198 of the Arteetude podcast features a deep dive with Detlef Schlich and Dirk Schlömer into the influence of fear politics in art and music. Explore the artistic responses to our ever-changing socio-political environment and enjoy a concluding piece by Dirk Schlömer. #FearPolitics #ArtDiscussion #DetlefSchlich #DirkSchlömerhttps://dirkschloemer.bandcamp.com/track/dubby-nocturne-v-byzantinehttps://ornahmental.bandcamp.com/track/strong-stable-cd1https://schlg.bandcamp.com/album/ambiguity-of-wisdomApple Podcast https://podcasts.apple.com/us/podcast/arteetude-west-cork-s-first-art-fashion-design-podcast/id1527081647Spotify Podcasthttps://open.spotify.com/show/3eBv4E5qgW8Vot0oojAr1tArTEEtude is a podcast created and produced by Detlef Schlich that explores the intersection of art, digital culture, and true stories in West Cork. Schlich, a multi-disciplinary artist, operates his podcast with a cross-sectoral approach, believing that a visual artist should think beyond being just an antagonist and instead strive to be a protagonist. Through this podcast, he dives into the unknown depths of the creative mind to uncover new perspectives and ideas.Detlef Schlich is a podcaster, visual artist, filmmaker, ritual designer, and media archaeologist based in West Cork. He is recognized for his seminal work, including a scholarly examination of the intersections between shamanism, art, and digital culture, as well as his acclaimed video installation, Transodin's Tragedy. He primarily works in performance, photography, painting, sound, installations, and film. In his work, he reflects on the human condition and uses the digital shaman's methodology as an alter ego to create artwork. His media archaeology is a conceptual and practical exercise in uncovering the unique aesthetic, cultural and political aspects of media in culture.WEBSITE LINKS Dirk Schlömerhttps://dirkschloemer.bandcamp.com/https://www.dirk-schlömer.de/Instagramhttps://www.instagram.com/dirkschloemeroriginal/FACEBOOKhttps://www.facebook.com/dirk.schlomer.524Detlef SchlichInstagramDetlef Schlich ArTEEtude I love West Cork Artists FacebookDetlef Schlich I love West Cork Artists Group ArTEEtudeYouTube Channelsvisual PodcastArTEEtudeCute Alien TV official WebsiteArTEEtude Detlef Schlich Det Design Tribal Loop Download here for free Detlef Schlich´s Essay about the Cause and Effect of Shamanism, Art and Digital Culturehttps://www.researchgate.net/publication/303749640_Shamanism_Art_and_Digital_Culture_Cause_and_EffectSupport this podcast at — https://redcircle.com/arteetude-a-podcast-with-artists-by-detlef-schlich/donations

Episode Notes In 1990, Congress passed the Americans with Disabilities Act (ADA), a federal civil rights law banning discrimination against people with disabilities in many areas of life. However, despite the ADA and more precisely the work of the disability rights movement in bringing public visibility to the injustices faced by disabled folks, the law doesn't cover accessibility or inclusion in every area of life nor does it change ableist attitudes. And because ableism is ubiquitous in our social world, we must be active in challenging our bias. Today I'm chatting with Dr. Ashley Shew, author of Against Technoableism: Rethinking Who Needs Improvement. We discuss ableism, disability, technology, and accessibility.   Ashely Shew is an Associate Professor in Science, Technology, and Society at Virginia Tech. She is co-editor-in-chief of Techné, the journal of the Society for Philosophy and Technology. Ashley is a grateful participant with her local disability advocacy and activist community in the Disability Alliance and Caucus at Virginia Tech and the New River Valley Disability Resource Center.

In today's meditation, I want to share two simple, practical tools for combatting your anxiety in the moments when it feels most difficult. The first is a grounding technique where we'll focus on bringing awareness to your space and the things around you.The second is a breathing technique called 4-7-8 breathing that has been scientifically proven to help soothe the nervous system.If you're struggling with anxiety, give these two techniques a try, and let me know if you notice a shift.

AI, chatGPT, and the growth in technology…good for us or no? Is the technology killing our brain cells and making us lazy? Tune in to see what we think! Intelligence

#cyber #magick #witchcraft How does technology reshape magic practices? is the internet changing esoteric traditions? TechnoPaganism, TechnoWitchcraft, Magic in the Digital & Virtual Domain. CONNECT & SUPPORT

2023/07/19 ~ Episode 391 - Its a tech world we are living in today and its easy to feel overwhelmed. Wouldn't it be nice if someone would just show up at your church and help you with your technology challenges Well, we know someone who does just that, his name is Micheal Byrd, next on the Church Solutions Podcast.

The Kunio-kun series (typically localized as River City) is a video game series started by Technōs Japan. The series is now handled by Arc System Works who purchased all of the intellectual property rights from Technōs' successor, Million Corp. The first game in the series is fully titled Nekketsu Kōha Kunio-kun, which roughly translates to "Hot Blood Tough Guy Kunio", with Nekketsu being the name of the series' title character Kunio's high school. The kun suffix after his name is an informal Japanese honorific usually applied to young males. The series originated in arcades, before appearing on the Famicom console. Kunio later became Technōs Japan's main mascot, appearing on the company's logo in several games and television commercials. Learn more about your ad choices. Visit megaphone.fm/adchoices

Writer Margo Jefferson and poet Victoria Adukwei Bulley join BookRising host Bhakti Shringarpure to talk about their recent books which won the Rathbones Folio Prize 2023. The authors speak about crafting aesthetically innovative, genre-bending and political works. They also weigh in on particular challenges for Black women in the world of publishing and the importance of mentoring and camaraderie among writers.Margo Jefferson is a writer who worked as a theatre and book critic for Newsweek and the New York Times, and her writing has appeared in several publications including Vogue, New York Magazine and New Republic. She is a professor of writing at Columbia University's School of the Arts. Her book Negroland was shortlisted for the Baillie Gifford Prize and was winner of a National Book Critics Circle Award. She is also the author of On Michael Jackson. And most recently, Margo was awarded the Rathbones Folio prize for her genre-bending work of non-fiction titled Constructing a Nervous SystemVictoria Adukwei Bulley is a poet, writer and filmmaker of Ghanaian heritage, born and raised in Essex, England. She was shortlisted for the Brunel University African Poetry Prize in 2016 and received an Eric Gregory Award for her pamphlet Girl B, published as part of the New Generation African Poets series in 2017. She is an alumna of both the Barbican Young Poets and Octavia Poetry Collectives, and has held residencies internationally. In 2019, she was awarded a TECHNĒ scholarship for fully-funded doctoral research at Royal Holloway, University of London. Quiet is her 2022 her debut collection of poetry and which was also awarded the Rathbones Folio Prize only a week ago. Bhakti Shringarpure is the Creative Director of the Radical Books Collective.

What is memory? How does it determine our experience and identity? To what extent does memory influence our understanding of the future? Or of time itself? How do individual memories differ from collective ones? What happens to our sense of belonging and selfhood when our memories are externalized in digital devices?… read more »

Nick Travers is a founding director at Technē, a 33-person architecture and interiors practice based in Melbourne, Australia.In this episode, Nick and I discussed: His insight into the approach and motivations of large scale hospitality clients, from their attitude to risk, their drive to find a unique point of difference for their venue, and how the studio manages healthy client relationships over the long term. How the studio has made a strategic choice to avoid being pigeonholed in a particular style of project type, in order to make their business model more sustainable over the long term, relevant to long-term clients and able to weather changes in the economy. The power of repeat business; how it drives 60% or more of their new projects each year and the benefits that come with that, as well as some of the risks and limitations repeat business can bring for studios as their offerings and pricing models evolve over time. How the directors have developed their business acumen over the years, from early mentors to engaging consultants and executive coaches; as well as the studio's plans for the future, including a fast-growing new office they've launched in North East Victoria. If you'd like to learn more about Technē, you can visit techne.com.au. You can also follow the studio on Instagram @technearchitects. Office Talk is hosted by Dave Sharp, M.Arch—an architectural marketing expert and the director of Office D.SHARP, a practice providing specialised consultancy, marketing and PR services tailored to meet the particular needs of architects. Working as a sole practitioner, Dave employs a collaborative, conversational approach to his work, fostering long-standing relationships that yield tangible results for clients.Visit officedavesharp.com to learn more.This episode was supported by ArchiPro. ArchiPro showcases the best and latest in the architecture and building industry, and connects people with trusted trade professionals and products to suit their needs. Visit ArchiPro.com.au to learn more.

Welche Rolle spielt Technologie? Welche Auswirkungen auf unser Bewusstsein und Selbstverständnis hat sie? Im Gespräch mit Carsten Pötter - Philosoph & Alchemist - geht's um:

Enrique Alvarez is the Co-Founder and Managing Director of Vector Global Logistics, a certified minority-owned supply chain and logistics company dedicated to world-class service, a results-only mindset, and social impact. He is proud to say that Vector's success and growing impact has been built on their results-based culture, a passionate team, and their desire to truly partner with clients. Before co-founding Vector, he worked for the Boston Consulting Group (BCG) where his main focus was on the operations, sales, and supply chain processes. Prior to joining BCG, Enrique worked for Grupo Vitro, a Mexican glass manufacturer, for five years holding different positions from sales and logistics manager to supply chain project leader. He has an MBA from The Wharton School of Business and a BS in Mechanical Engineering from the Technólogico de Monterrey in Mexico. Enrique's passions are soccer and the ocean, and he also enjoys traveling, getting to know new people, and spending time with his wife and two kids, Emma and Enrique. Link to our Ukrainian coordination / support meetings – please invite anyone that might be interested even if they don't necessarily manufacture or ship anything. Unfortunately, this conflict will go on for a longer time, people require a lot of support yet the news cycle seems to be passed the Ukraine war   https://vectorgl.com/stand-with-ukraine/   (link to sign up for the meeting is : https://us06web.zoom.us/meeting/register/tZMvfu2uqTsuGNZtMwrBOhMgr3qhZr_Yrd1r

Jaan begins by introducing himself and the company before talking about what micromobility is. He then transitions into discussing how last mile delivery has evolved and how IoT plays a role in it. Ryan and Jaan then move more high-level with conversation about areas of evolution for smart cities, challenges in the industry, and advice for companies starting their IoT journey.Jaan Hendrik Murumets is the CEO of Krakul, Estonia's leading IoT and autonomous systems developer, and the CTO of Bercman Technologies, a Nasdaq First North listed deep-tech company developing traffic safety solutions. Jaan is a member of the Supervisory Board of the Estonian Electronics Industries Association. In 2020, Jaan was nominated Estonian Young Entrepreneur of the Year 2020. Krakul helps startups and enterprises achieve business success with unmanned platforms and IoT products. Krakul's ability to collaboratively bring products to market rapidly, solve technical challenges, and achieve business success sets them apart from other design, product development, and engineering agencies. Krakul's comprehensive approach to working with the full product lifecycle (planning, development, production, supply chain, and scaling) is what helps its customers succeed. They can support their customers in all stages of their IoT-related projects, from ideation to prototyping and manufacturing.

In today's episode, Jeff Bond chats with Enrique Alvarez, Managing Director of Vector Global Logistics. Vector provides world-class logistics services to make their partners and clients more successful while bettering the lives of everyone they  come in contact with and creating a positive social impact. Headquartered in Atlanta, Georgia, Vector employs approximately 145 employees and has additional offices in Mexico and Chile. Enrique talks to Jeff about the importance of trusting your team, even through challenges, as well as why sticking to your values and being true to yourself pays off.   About Enrique Alvarez Enrique Alvarez believes we all have a personal responsibility to change the world. For this reason, he is hardworking, relationship-minded, and proactive. Enrique is the Managing Director at Vector Global Logistics, which is dedicated to changing the world through the supply chain. He is proud to say that Vector's success and growing social impact has been built on their results-based culture, a passionate team, and their desire to truly partner with clients. Before co-founding Vector, he worked for the Boston Consulting Group (BCG) where his main focus was on the operations, sales, and supply chain processes. Prior to joining BCG, Enrique worked for Grupo Vitro, a Mexican glass manufacturer, for five years holding different positions from sales and logistics manager to supply chain project leader. He has an MBA from The Wharton School of Business and a BS in Mechanical Engineering from the Technólogico de Monterrey in Mexico. Enrique's passions are soccer and the ocean, and he also enjoys traveling, getting to know new people, and spending time with his wife and two kids, Emma and Enrique. RESOURCES RELATED TO THIS EPISODE Follow Enrique on LinkedIn Visit www.vectorgl.com Follow Vector Global Logistics on LinkedIn, Facebook, Instagram, Twitter, and YouTube CREDITS Theme Music

Enrique Alvarez is the Co-Founder and Managing Director of Vector Global Logistics, a certified minority-owned supply chain and logistics company dedicated to world-class service, a results-only mindset, and social impact. He is proud to say that Vector's success and growing impact has been built on their results-based culture, a passionate team, and their desire to truly partner with clients. Before co-founding Vector, he worked for the Boston Consulting Group (BCG) where his main focus was on the operations, sales, and supply chain processes. Prior to joining BCG, Enrique worked for Grupo Vitro, a Mexican glass manufacturer, for five years holding different positions from sales and logistics manager to supply chain project leader. He has an MBA from The Wharton School of Business and a BS in Mechanical Engineering from the Technólogico de Monterrey in Mexico. Enrique's passions are soccer and the ocean, and he also enjoys traveling, getting to know new people, and spending time with his wife and two kids, Emma and Enrique.

Super Double Dragon, released in Japan as Return of Double Dragon: "Sleeping Dragon" has Awoken (リターン・オブ・双截龍, Ritān Obu Daburu Doragon), is a side-scrolling beat-'em-up released for the Super Nintendo Entertainment System in 1992. It was published by Tradewest in North America and the PAL region and by Technōs Japan in Japan. Super Double Dragon is the fourth console game in the Double Dragon series developed by Technōs Japan, following Double Dragon III: The Sacred Stones for the NES. The game did not have an arcade release and was made specifically for the home market. See acast.com/privacy for privacy and opt-out information. --- Send in a voice message: https://podcasters.spotify.com/pod/show/tradepaperbacks/message --- Send in a voice message: https://podcasters.spotify.com/pod/show/rangerryan/message

Leading in marketing means seeing trends before they happen… sensing the change in the wind before anyone else and helping your clients prepare and – better yet – take advantage of those changes before anyone else. But in a world of unpredictable markets and shifting landscapes, delivering a level of predictability for your clients while also leading your own team is no easy feat. Lucky for us, Ed Locher, the VP of Marketing at HG Insights, is here to talk about how he manages to deliver a level of predictability for his clients while also promoting empathy and curiosity within his own ranks. Tune in to learn:Forecasting future events and the tech that can help you do it (9:11)Stop putting all your eggs in the MQL basket (12:00)What does the future of business intelligence look like? (15:00)Doing the dance between art and science (20:00)How to leverage personalization and create a bridge to individuals (34:14)Marketing Trends is brought to you by Salesforce Marketing Cloud. For more great marketing insights, sign up for The Marketing Moments newsletter. You'll get ideas to help you build better customer relationships, invites to upcoming events, and access to the latest industry research. Subscribe at https://sforce.co/MarketingMoments

Everything you've ever wanted to know in two minutes or less. Impossible? Maybe not. In this miniseries, Jimmy lays out the future of education, explains why nanolearning is all the rage, and gives an example that is (in fact) rocket science. Come for the teacher hacks and lesson plan ideas, stay for the Neil deGrasse Tyson and boomer jokes.Kickin' It New School is a podcast about challenging some of the long-standing assumptions in education and exploring how we can reach this current generation. Whether you're a homeschool parent, teacher, or someone interested in ed policy, this show is for you. Tell me your success story or ask a question at https://jimmyleonard.com/podcast/.Twitter: @authorjleonardSupport the show (https://jimmyleonard.com/asp-products/support-the-podcast/)

Everything you've ever wanted to know in two minutes or less. Impossible? Maybe not. In this miniseries, Jimmy lays out the future of education, explains why nanolearning is all the rage, and gives an example that is (in fact) rocket science. Come for the teacher hacks and lesson plan ideas, stay for the Neil deGrasse Tyson and boomer jokes.Kickin' It New School is a podcast about challenging some of the long-standing assumptions in education and exploring how we can reach this current generation. Whether you're a homeschool parent, teacher, or someone interested in ed policy, this show is for you. Tell me your success story or ask a question at https://jimmyleonard.com/podcast/.Twitter: @authorjleonardSupport the show (https://jimmyleonard.com/asp-products/support-the-podcast/)