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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
Dr. Sunit Gupta, originally from India, has been in the Los Angeles area for over 30 years. He's a psychic, healer, palm reader, Vedic astrologer, business owner (A to Z Holistic Center in Chino, CA and Sunit Gupta Enterprises), Shihan 5th degree black belt, Hollywood celebrity and more! He knew Mother Theresa and traveled widely in India and in the world. As a 7th grader, he decided to take up the study of books that he deemed useful for humanity, purging his bookshelves of novels. Exploring and appreciating world religions has kept him staunchly non-dogmatic.Sunit Gupta Enterprises - Psychic Realm, Karateka & Actor
Send us a textLast week we began our trek across the bridge to the celestial! We remembered our connection to the stars, and their connection to our very DNA.From a deep dive into birth charts to the ways the stars have pressed into the soul of Night Sky Tourist, there's no doubt about the influence of the Sun and Moon and stars have on us! How about legends of werewolves? Humans changing into half-dog, half-human beasts during a full moon. Do our moods change based on lunar or solar activity? How the Sun and Moon Influence HumansFirst the Sun - It is what some have called the hearth and heart of our planet.Did you know our Sun accounts for 99.8% of our solar system's mass? That fact comes from NASA. And it's no wonder the Earth, and us, its inhabitants are influenced by it, because Earth exists INSIDE the Sun's atmosphere. You heard that right. Outside that heliosphere is interstellar space. NASA continues, "The Sun doesn't have a solid surface like Earth and the other rocky planets and moons. The part of the Sun commonly called its surface is the photosphere. The word photosphere means "light sphere" – which is apt because this is the layer that emits the most visible light. It's what we see from Earth with our eyes." (and they remind us to never look directly at the Sun without eye protection)And then there's this; " In one of the Sun's biggest mysteries, the corona is much hotter than the layers immediately below it. (Imagine walking away from a bonfire only to get warmer.) The source of coronal heating is a major unsolved puzzle in the study of the Sun."What to Read/Listen/Watch NEXT!A Beginner's Guide to Reading a Birth Chart, ELLE Magazine, Madison FellerBeginner's Guide to Reading a VEDIC Birth Chart, Melooha.com, Dr. Vineeta PhatakPast Life in the Natal Chart, Astrologgia.com, Daria RoweFour Elements in Astrology, Moonletter.co.uk, Ben BelinskySun Facts, NASA.govSolar Flares: Effects on Humans, Heath.com, Amanda MacMillanInterpreting 5 Ancient Constellations Across Cultures, Discover Magazine, Joshua Rapp LearnOrion Across Three Cultures, NightSkyTourist.comI don't accept sponsors and paid advertisers. I choose people, podcasts and authors I believe in to highlight in the ad segment. That's why I've been shining a spotlight on Derek Condit at Mystical Wares. He is both talented and generous with those gifts. Please give his books a look on the Mystical Wares website.Curious Cat Crew on Socials:Curious Cat on Twitter (X)Curious Cat on InstagramCurious Cat on TikTokArt Director, Nora, has a handmade, ethically-sourced jewelry company!
Well, what a week that was. Your regular host Andy pulled a Jonathan Varane, and withdrew late with an undisclosed injury, so Ant, goes full Morgan Fox and steps in at the last minute to join Dun to dissect a busy old week (but without the own goal)- A bloody good Friday - It was the best of Schaffers...- How can you not notice a big lump like Lindsey at the far post?- Marti makes some impact subs- Smythy gets away with his impact (for a short while at least)- Frey bullies the ball in the back of the net to equalise with 5 minutes to go- Koki Sait-OW! Shoulder Dislocated.- "Locate Dis!" Lucas no longer a naughty boy, was our messiah on good Friday right at the death.- We had to resurrect the Lucas Music- A bloody poor Monday - It was the worst of schaffers...- Good job we're mathematically safe, Swansea had our number.- Americans don't have Easter Monday as a holiday some of us have to work- QPR fans generally United on Sutton's debut. Academy product Emerson gets his first taste of first team football.- Fox helps Swans take flight- Darling, we're 2-0 down.- Madsen to Dembele again get us back in it- Strong finish, came up short. (Am I allowed to say short?)- We're safe. Good job as it's tighter than our FFP headway down at the bottom- If QPR brought in a 25 goal striker from League 1 next season, you've be delighted. So why are we unsure about Charlie Kelman?- Season almost over, we can put our feet up, nothing to see here.- Oh...every. damn. time...- Let's Frost/Nixon the elephant in the room. Marti v Nourry. A heavyweight last man standing battle. Only one can survive! (apparently...). Is it a Paella Bull**t?- (Please don't buy The Sun - It's the National Enquirer of Fox News of Newspapers)- Podcastapalooza this week. WSL and W12 go 60 Minutes with interviews and insight with the Head of Methodology on WSL and Ilias on W12. QPR Pod went more OAN with a balanced nuanced discussion.- Conclusion: Can every one be like Xavi and just be Calm.- Man, we could do with some lovely stuff after all that - So, Steve Lamacq, Pulp & Jam and there has been some bloody great TV this year. - Predictions . Any chance we can get the ball in Burnley's net. No one else can. They've conceded 10 less goals than Kelman has scored!- Soft Play on Sunday and Ant manifests concerts.Rate, review, 5 Stars would be lovely, any feedback and comments would be better.Oh, and our T-shirts will be available for an end of season pre-order special soon! Details soon on our socials. (Bluesky, threads and Insta)
On behalf of this most auspicious occasion of Easter Sunday, celebrating the resurrection of Christ and the upsurge of spring-time energy in nature, we reflect a little bit on Christ as Solar Deity. Importantly, I wanted to compare the Christ's resurrection to the resurrection of Osiris in Egyptian mythology and how that might mirror not only the Tantrik understanding of Shakta Peethas (i.e the natural world as a metaphor for spiritual themes in the soul's journey) but also the reverence for the Sun that we see in Vedic and Saurya-Tantrik context! This lecture follows closely on the heels of the discussion had earlier this week on Why We Worship the SunIt is after all Easter Sun-day!Mainly though, we spend some time reflecting on the Christ's innovation on spiritiuality: that of learning to regard God as your very own, your intimate Master, Friend, Parent, Child and Lover.Christ expressly stressed the first three relationships with a strong emphasis on the third. In this class, using Swami Vivekananda's Bhakti Yoga book, we say a few words about "God as Divine Child" having already discussed "God as Master" and "God as Friend" in the How To be God's Friendand How To Be Powerful Like Hanumanlectures respectively. Jai Christ ji! May this be an offering at the lotus feet of that great master, embodiment of purity and incarnation of love. May he arise in all our hearts today! May we all become Christ-like by his grace!Here is a playlist on all things Tantrik Christianity. Support the show
As we prepare for episode 250 (vote here!) we first must ponder the Weather Pokemon, Castform! It's like four Pokemon in one! Wow! Follow along with the entries below: Ruby: CASTFORM's appearance changes with the weather. This POKéMON gained the ability to use the vast power of nature to protect its tiny body. Sapphire: CASTFORM borrows the power of nature to transform itself into the guises of the sun, rain clouds, and snow clouds. This POKéMON's feelings change with the weather. FireRed & LeafGreen: It has the ability to change its form into the sun, the rain, or a snow cloud, depending on the weather. Emerald: It alters its form depending on the weather. Changes in the climate such as the temperature and humidity appear to affect its cellular structure. Diamond, Pearl & Platinum: Its appearance changes with the weather. Recently, its molecules were found to be just like water. HeartGold & SoulSilver: This Pokémon can change its cells, taking different forms based on the temperature and humidity. Black & White 2: Temperature and weather affect its cellular structure, so this Pokémon changes form according to the weather. Sun: It changes its form depending on the weather. Changes in the temperature or humidity appear to affect its cellular structure. Moon: Its form changes on its own, due to its cells' sensitive reactions to temperature and humidity. Ultra Sun: Although its form changes with the weather, that is apparently the result of a chemical reaction and not the result of its own free will. Ultra Moon: Its form changes depending on the weather. The rougher conditions get, the rougher Castform's disposition! Sunny Form Sun: This is the form Castform takes on the brightest of days. Its skin is unexpectedly hot to the touch, so approach with care. Moon: This is Castform's form when basking in fair weather. Its body is warm and toasty. Ultra Sun: This is the form Castform takes on bright days. In an experiment where Castform was placed in front of a heater, it didn't change to this form. Ultra Moon: Castform changes to this form when it basks in bright sunlight. When you touch its glowing skin, it feels all dried out! Rainy Form Sun: This is the form Castform takes when soaked with rain. When its body is compressed, water will seep out as if from a sponge. Moon: This is Castform's form during a downpour of rain. Its body retains moisture and gets slippery. Ultra Sun: Castform changes to this form when rain hits it. Its body is soft and slightly swollen with water. Ultra Moon: This is Castform's form when pelted by rain. In an experiment where it was placed in a shower, this Pokémon didn't change to this form. Snowy Form Sun: This is the form Castform takes when covered in snow. Its body becomes an ice-like material, with a temperature near 23 degrees Fahrenheit. Moon: This is Castform's form when caught in a hailstorm. Its cold skin is as smooth as ice. Ultra Sun: This is the form Castform takes when hit by hail. In an experiment where it was placed in a freezer, it didn't change to this form. Ultra Moon: This is Castform's form when caught in a hailstorm. Its whole body is chilled, and its skin is partially frozen! BTB: Castform's mood matches the weather in the following ways: Sunny = ecstatic, rainy = wistful, and snowy = demure, mindful. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
We're finally done with the Pikachu family as we cover Alolan Raichu and wow does anyone else suddenly crave pancakes? Vote for who we should cover for episode 250 here! Follow along with the entries below: Sun: It only evolves to this form in the Alola region. According to researchers, its diet is one of the causes of this change. Moon: It uses psychokinesis to control electricity. It hops aboard its own tail, using psychic power to lift the tail and move about while riding it. Ultra Sun: It focuses psychic energy into its tail and rides it like it's surfing. Another name for this Pokémon is “hodad.” Ultra Moon: When you rub its cheeks, a sweet fragrance comes wafting out. However, you'll also get a light shock! Let's Go Pikachu/Eevee: It loves pancakes prepared with a secret Alolan recipe. Some wonder whether that recipe holds the key to this Pokémon's evolution. Sword: It's believed that the weather, climate, and food of the Alola region all play a part in causing Pikachu to evolve into this form of Raichu. Shield: This Pokémon rides on its tail while it uses its psychic powers to levitate. It attacks with star-shaped thunderbolts. Photodex: This Pokémon is a talented surfer, using its psychic power to ride the waves. It's always practicing on the beach, waiting for that perfect wave to roll in. BTB: Raichu's pancake form. An artistic electric user that definitely seems more chill than normal Raichu. Surfing ability may vary. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
S3 Episode 32 - No Goodbyes - Facing the aftermath of the fight with the Dura, the gang picks up the pieces and prepares for their next mission. Edited by Dallas Welk and Chris Ramey Check out Blood & Sun It's out now! - https://podcasts.apple.com/us/podcast/blood-sun/id1772372606 and don't forget to rate and review us on Apple Podcast! Feddie Scum - The Gundam RPG Podcast Twitter - https://twitter.com/FeddieScum Facebook - https://www.facebook.com/feddiescum Youtube - https://www.youtube.com/channel/UCWptBHBc3no9bht-EpZO8wQ Support us on Patreon! - https://www.patreon.com/deadsetmedia Check out our merch store! - https://deadsetmedia.bigcartel.com Find out more at https://feddiescum.pinecast.co
S3 Episode 31 - Searing Finale - Our heroes fight for their lives to defeat the Dura, but will friendship prevail? Edited by Dallas Welk and Chris Ramey Check out Blood & Sun It's out now! - https://podcasts.apple.com/us/podcast/blood-sun/id1772372606 and don't forget to rate and review us on Apple Podcast! Feddie Scum - The Gundam RPG Podcast Twitter - https://twitter.com/FeddieScum Facebook - https://www.facebook.com/feddiescum Youtube - https://www.youtube.com/channel/UCWptBHBc3no9bht-EpZO8wQ Support us on Patreon! - https://www.patreon.com/deadsetmedia Check out our merch store! - https://deadsetmedia.bigcartel.com Find out more at https://feddiescum.pinecast.co
Move over Pikachu, it's time to get rude and rowdy with your evolved form, Raichu! Join us as we're once again baffled by the phenomenon of electricity and reference even more obscure media! Follow along with the entries below: Red & Blue: Its long tail serves as a ground to protect itself from its own high voltage power. Yellow: When electricity builds up inside its body, it becomes feisty. It also glows in the dark. Gold: When its electricity builds, its muscles are stimulated, and it becomes more aggressive than usual. Silver: If the electric pouches in its cheeks become fully charged, both ears will stand straight up. Crystal: If its electric pouches run empty, it raises its tail to gather electricity from the atmosphere. Ruby: If the electrical sacks become excessively charged, RAICHU plants its tail in the ground and discharges. Scorched patches of ground will be found near this POKéMON's nest. Sapphire: This POKéMON exudes a weak electrical charge from all over its body that makes it take on a slight glow in darkness. RAICHU searches for electricity by planting its tail in the ground. FireRed: Its electric charges can reach even 100,000 volts. Careless contact can cause even an Indian elephant to faint. Emerald: If it stores too much electricity, its behavior turns aggressive. To avoid this, it occasionally discharges excess energy and calms itself down. Diamond: It turns aggressive if it has too much electricity in its body. It discharges power through its tail. Pearl: It can loose 100,000-volt bursts of electricity, instantly downing foes several times its size. Platinum: Its tail discharges electricity into the ground, protecting it from getting shocked. Sun: It unleashes electric shocks that can reach 100,000 volts. When agitated, it can knock out even an Indian elephant. Moon: It becomes aggressive when it has electricity stored up. At such times, even its Trainer has to take care to avoid being attacked. Ultra Sun: As electricity builds up inside its body, it becomes more aggressive. One theory is that the electricity buildup is actually causing stress. Ultra Moon: Because so many Trainers like the way Pikachu looks, you don't see this Pokémon very often. Legends Arceus: It can discharge bursts of electricity exceeding 100,000 volts— a single strike with that amount of power would incapacitate one of the Copperajah of my homeland. BTB: Raichu is constantly moderating a delicate emotional state and can be quite dangerous if ungrounded and so inclined. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
It's time to talk about THE iconic Pokemon, Pikachu starting, of course, with Pichu! One of the original babies! Even as a baby, this tiny mouse still has a zillion entries so get ready! Follow along with the entries below: Gold: It is not yet skilled at storing electricity. It may send out a jolt if amused or startled. Silver: Despite its small size, it can zap even adult humans. However, if it does so, it also surprises itself. Crystal: It is unskilled at storing electric power. Any kind of shock causes it to discharge energy spontaneously. Ruby: PICHU charges itself with electricity more easily on days with thunderclouds or when the air is very dry. You can hear the crackling of static electricity coming off this POKéMON. Sapphire: When PICHU plays with others, it may short out electricity with another PICHU, creating a shower of sparks. In that event, this POKéMON will begin crying, startled by the flash of sparks. Emerald: It is still inept at retaining electricity. When it is startled, it discharges power accidentally. It gets better at holding power as it grows older. Diamond: The electric pouches on its cheeks are still small. They cannot store much electricity yet. Pearl: It plays with others by touching tails and setting off sparks. This appears to be a test of courage. Platinum: The electric sacs in its cheeks are small. If even a little electricity leaks, it becomes shocked. Sun: It is not yet skilled at controlling electricity. If you take your eyes off it, it may shock itself. Moon: Despite this Pokémon's cute appearance, those who want to live with one should prepare to be on the receiving end of its electric jolts. Ultra Sun: It still can't use electricity well. When it's surprised or excited, it discharges electricity unintentionally. Ultra Moon: It has electric sacs in its cheeks. When they're fully charged, Pichu plays very energetically. Legends Arceus: Pichu stores electricity in the sacs on its cheeks but discharges it inadvertently when agitated or excited. Being yet immature, the Pokémon's handling of electricity is rather inept. BTB: This baby can't do electricty very good just yet. It may be cute, but it's basically a livewire and you WILL get zapped. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
Episode Highlights: moving from fear to solutions, balancing awareness and positivity, benefits of homeschooling, conscious parenting Summary: Get ready for an epic repost on this Monday edition of the Awake & Winning Podcast! As we kick off September and parents gear up for back-to-school season, this episode is a powerful conversation between Kaylor and Sunit Suchdev aka “Sunitspeaksagain” as they dive into the evolution of the awake community, as they discuss the balance of staying aware without letting it consume your life, sharing strategies for navigating potential challenges and taking control of your own path. The conversation also explores homeschooling and the misconceptions around it, encouraging parents to make decisions that align with their family's values. They highlight the importance of fostering open communication, raising critical thinkers, and creating a foundation of trust and connection. Plus, Sunit shares her vision for helping parents raise tomorrow's leaders with a conscious parenting curriculum. Tune in for this insightful discussion on parenting, critical thinking, and conscious living! Takeaways: Prepare for potential challenges and take control of your own life Homeschooling can provide a well-rounded education and socialization for children.Don't let the opinions of others dictate your choices as a parent. Establish a strong foundation of open and honest communication with your children, encouraging critical thinking and questioning Address resistance from children by setting boundaries and explaining the reasons behind decisions Be proactive, intentional, and conscious in your parenting approach, considering the individual needs and values of your family. Conscious parenting involves building trust and connection with your children Teach children to tune into their intuition and make their own decisions Raising leaders requires time, effort, and a focus on teaching children how to think for themselves Please note: this was previously recorded under the Mental Wealth brand If you enjoyed the episode, please be sure to take a screenshot and share it out on Instagram and tag @thekaylorbetts. Also, please make sure to give us a review and a five star rating if you're loving what we are doing! _____________________________ RESOURCES & LINKS MENTIONED IN THIS EPISODE: Instagram | https://www.instagram.com/sunitspeaksagain/ _____________________________ SPONSORS: Truly Tallow | https://www.trulytallow.com/ Use code “SUNNYBALLS10” at checkout for 10% off your order ____________________________ IMPORTANT UPDATES: Check out the Awake & Winning Website | https://awakeandwinning.com/ Join the Awake & Winning Life AW-cademy | https://theawlife.com/ Join the Awake & Winning Business AW-cademy | https://theawbiz.com Join the Awake & Winning POD-cademy | http://yourwinningpodcast.com/ Follow Kaylor on Instagram | https://www.instagram.com/thekaylorbetts/ _____________________________
Another Cycle around the SUN It is 2024!!!!! We hope you all had an amazing New Year's celebration! Some may be thinking, "Why even talk about the end times? Aren't we still here? Time keeps marching on." Mark 13:9-13 says, "9 You must be on your guard. You will be handed over to the local councils and flogged in the synagogues. On account of me you will stand before governors and kings as witnesses to them. 10 And the gospel must first be preached to all nations. 11 Whenever you are arrested and brought to trial, do not worry beforehand about what to say. Just say whatever is given you at the time, for it is not you speaking, but the Holy Spirit. 12 Brother will betray brother to death, and a father his child. Children will rebel against their parents and have them put to death. 13 Everyone will hate you because of me, but the one who stands firm to the end will be saved." We think that one year or two years is a long time. But we are encouraged by Jude, who says, "17 But, dear friends, remember what the apostles of our Lord Jesus Christ foretold. 18 They said to you, “In the last times, there will be scoffers who will follow their own ungodly desires.” 19 These are the people who divide you, who follow mere natural instincts and do not have the Spirit. 20 But you, dear friends, by building yourselves up in your most holy faith and praying in the Holy Spirit, 21keep yourselves in God's love as you wait for the mercy of our Lord Jesus Christ to bring you to eternal life. 22 Be merciful to those who doubt; 23 save others by snatching them from the fire; to others show mercy, mixed with fear—hating even the clothing stained by corrupted flesh." Keep looking up! We will continue to encourage you as often as we can! Tune in on this first day of 2024! PRAY. PREPARE. PROTECT. PROCLAIM. PERSIST. PERSEVERE. PRAY AGAIN. PASS IT ON. POWER UP. POSITION PROPERLY. PAY ATTENTION. PRAY WITHOUT CEASING For more information go to endtimes.chat
Here we are at the end of an incredible journey and Machamp's entries do not disappoint! Also there's a ton of them so buckle up for a long one! Follow along with the entries below: Red & Blue: Using its heavy muscles, it throws powerful punches that can send the victim clear over the horizon. Yellow: One arm alone can move mountains. Using all four arms, this POKéMON fires off awesome punches. Gold: It quickly swings its four arms to rock its opponents with ceaseless punches and chops from all angles. Silver: It uses its four powerful arms to pin the limbs of its foe, then throws the victim over the horizon. Crystal: With four arms that react more quickly than it can think, it can execute many punches at once. Ruby: MACHAMP has the power to hurl anything aside. However, trying to do any work requiring care and dexterity causes its arms to get tangled. This POKéMON tends to leap into action before it thinks. Sapphire: MACHAMP is known as the POKéMON that has mastered every kind of martial arts. If it grabs hold of the foe with its four arms, the battle is all but over. The hapless foe is thrown far over the horizon. FireRed: Its four ruggedly developed arms can launch a flurry of 1,000 punches in just two seconds. Emerald: It is impossible to defend against punches and chops doled out by its four arms. Its fighting spirit flares up when it faces a tough opponent. Diamond: It punches with its four arms at blinding speed. It can launch 1,000 punches in two seconds. Pearl: It can knock a train flying with a punch. However, it is terrible at delicate work using its fingers. Platinum: Its four muscled arms slam foes with powerful punches and chops at blinding speed. Sun: It unleashes megaton-level punches that send opponents flying clear over the horizon. Moon: It can lift heavy loads with the greatest of ease. It can even heft dump trucks. But its clumsy fingers prevent it from doing any precision work. Ultra Sun: It grasps its opponents with its four arms and twists them up in an intricate hold. People call it “the Machamp special.” Ultra Moon: With four arms, it can attack and defend simultaneously. It's said to have mastered every martial art in the world. Legends: Arceus: In close combat, its four arms afford it offensive and defensive supremacy. In but a blink, this valiant Pokémon can overwhelm its foes with more than 1,000 blows from its fists. Dark Machamp: It is almost impossible to defend against a Machamp's four powerful arms. Light Machamp: It uses its four arms in combat to unleash a ceaseless flurry of punches. Photodex: Machamp's four muscular arms make it an excellent swimmer. It can move through the water as fast as any aquatic Pokémon. BTB: With it's power-save belt seemingly disabled, Machamp can now punch God. Horrible at arts and crafts though. Gigantamax Machamp Sword: The Gigantamax energy coursing through its arms makes its punches hit as hard as bomb blasts. Shield: One of these Pokémon once used its immeasurable strength to lift a large ship that was in trouble. It then carried the ship to port. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
It's muscles time! Machop is here for those good, good gains and we're to tell you all about it's impossible regimen. Sorry, Graveler! Follow along with the entries below: Red & Blue: Loves to build its muscles. It trains in all styles of martial arts to become even stronger. Yellow: Very powerful in spite of its small size. Its mastery of many types of martial arts makes it very tough. Gold: Always brimming with power, it passes time by lifting boulders. Doing so makes it even stronger. Silver: It loves to work out and build its muscles. It is never satisfied, even if it trains hard all day long. Crystal: It trains by lifting rocks in the mountains. It can even pick up a GRAVELER with ease. Ruby: MACHOP's muscles are special - they never get sore no matter how much they are used in exercise. This POKéMON has sufficient power to hurl a hundred adult humans. Sapphire: MACHOP exercises by hefting around a GRAVELER as if it were a barbell. There are some MACHOP that travel the world in a quest to master all kinds of martial arts. FireRed; Its whole body is composed of muscles. Even though it's the size of a human child, it can hurl 100 grown-ups. Emerald: It continually undertakes strenuous training to master all forms of martial arts. Its strength lets it easily hoist a sumo wrestler onto its shoulders. Diamond: It hefts a GRAVELER repeatedly to strengthen its entire body. It uses every type of martial arts. Pearl: Its muscles never cramp however much it trains. It lives in the mountains away from humans. Platinum: Though small in stature, it is powerful enough to easily heft and throw a number of GEODUDE at once. Sun: It loves working out. As it gazes at its muscles, which continue to swell day by day, it becomes more and more dedicated to its training. Moon: With its superhuman strength, it's able to throw a hundred people all at the same time. Its strength comes from lifting Graveler every day. Ultra Sun: Once this Pokémon has gained enough confidence and muscle from training with its friends, it challenges Makuhita to a battle. Ultra Moon: It likes food that's highly nutritious because its instincts drive it to build muscle efficiently. Legends: Arceus: Though as small as a child, it has strength enough to easily throw a well-built adult. Striving to become ever stronger, Machop trains by carrying a Graveler on its shoulders. Team Rocket Card: It's said that not even pro wrestlers can take down a Machop. BTB: With its infinite capacity for muscle growth and tireless strength, it is throwing untold quantities of everyone everywhere. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
Hello everyone, welcome back to The Bilna Sandeep show! Today I have two amazing guests on the show who are both from the interiors industry. So, we have Sunit who is from residential interiors sector and we have Sneha who is mostly into the design of the commercial, amazing commercial interior spaces. So welcome Sunit, welcome Sneha. Sunit: LinkedIn Sneha: LinkedIn Check out this episode on YouTube Part 1: https://youtu.be/gN62crUU-ZA?si=HEJlbzrUGqyFuRZX Part 2: https://youtu.be/rRI8-sRNOjI?si=DiQpraEh3WpN6DVL If you want to join my network of amazing people, book a call with me at this link: https://calendly.com/bilnasandeep Homepreneurs Instagram: https://www.instagram.com/homepreneurs/ Growwie's Instagram: https://www.instagram.com/growwiemedia/ Growwie's Website: www.growwie.com Built Market Lab's Website: www.builtmarketlab.com Timestamps for your convenience: From Banking to Interior Design (0:53) From Luxury Flying to Design (03:14) Navigating Cultural Differences (08:24) Tailoring Designs to Personalities and Preferences (11:22) Overcoming Budget Constraints (14:18) Managing Client Expectations (17:34) Trusting and Empowering the Team (22:05) The Quest for Work-Life Balance (27:49) Learning to Say No (29:58) The Fear of Taking Vacations (34:29) The Risk and Rewards of Hiring (36:11) The Business-Oriented Partnership (41:45) The Strength of Distinct Roles (44:38) Honesty and Transparency with Clients (46:31) Consistency and Mental Strength (49:31) Embracing Mistakes as Opportunities for Growth (50:51) The Role of a Strong Network and Mentors (52:27) If you found this episode useful, I would be grateful if you could take a screenshot and share it on Instagram stories by tagging me. If you are listening to this Podcast on iTunes, please take a moment to rate my podcast. I would really appreciate your feedback, and it will help me do more for you all. Select 'View in iTunes' > click on 'Ratings and Reviews' > You can tap on the number of stars to rate and click and write a review to type your valuable feedback for me. Rate us on iTunes and leave us a review on today's episode. Be sure to let me know what valuable insights you gained from today's episode. Follow us on social media for more tips: Bilna's Instagram - https://www.instagram.com/bilnasandeep/ Homepreneurs Instagram - https://www.instagram.com/homepreneurs/ Website - https://bilnasandeep.com/ https://www.homepreneursclub.com/ Facebook - https://www.facebook.com/homepreneursclub/ YouTube - https://www.youtube.com/c/BilnaSandeep/featured Send in a voice message: https://anchor.fm/bilnasandeep/message --- Send in a voice message: https://podcasters.spotify.com/pod/show/bilnasandeep/message
We got an extra-long whopper of an episode this week as we discuss Sharpedo. Get ready for absurd destructive capabilities, gross mischaracterizations, unsettling revelations, and more! Also baseball? And more Zelda obviously. Follow along with the entries below: Ruby: Nicknamed “the bully of the sea,” SHARPEDO is widely feared. Its cruel fangs grow back immediately if they snap off. Just one of these POKéMON can thoroughly tear apart a supertanker. Sapphire: SHARPEDO can swim at speeds of up to 75 mph by jetting seawater out of its backside. This POKéMON's drawback is its inability to swim long distances. FireRed & LeafGreen: The ruffian of the seas, it has fangs that crunch through iron. It swims by jetting water from its rear. Emerald: The vicious and sly gangster of the sea. Its skin is specially textured to minimize drag in water. Its speed tops out at over 75 miles per hour. Diamond, Pearl, Platinum: Its fangs rip through sheet iron. It swims at 75 mph and is known as “The Bully of the Sea.” HeartGold & SoulSilver: It can swim at speeds of 75 mph by jetting seawater through its body. It is the bandit of the sea. Sun: It pursues its prey at speeds of 75 mph and finishes them off with fangs that can crush iron. It is known as the bully of the sea. Moon: It has a sad history. In the past, its dorsal fin was a treasured foodstuff, so this Pokémon became a victim of overfishing. Ultra Sun: People believe that carrying one of its discarded fangs will prevent mishaps at sea, so the fangs are made into accessories. Ultra Moon: It drinks in seawater and jets it from its rear to propel itself. It's very sensitive to the scent of blood. Sword: As soon as it catches the scent of prey, Sharpedo will jet seawater from its backside, hurtling toward the target to attack at 75 mph. Shield: This Pokémon is known as the Bully of the Sea. Any ship entering the waters Sharpedo calls home will be attacked—no exceptions. BTB: Known to pleasant individuals as the Cheetah of the Sea, Sharpedo is on a quest to obliterate all shipping lanes. Mega Sharpedo Sun: The spines sprouting from its head are transformed fangs. If they're injured or broken off, the spines will regenerate countless times. Moon: As a consequence of Mega Evolution, its combative instincts exploded. The yellow marks it bears are scars from a long history of battles. Ultra Sun: The yellow patterns it bears are old scars. The energy from Mega Evolution runs through them, causing it sharp pain and suffering. Ultra Moon: The moment it charges into its opponent, sharp spikes pop out of Sharpedo's head, leaving its opponent with deep wounds. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
We're back with a banger! The wonderful Sunit Atwal, QHSE Manager at CBRE (GWS) EMEA, joins James for a chat about confidence, social anxieties, imposter syndrome, dressing for the part and how important networking is for building a successful career. Thanks Sunit for this awesome conversation. Enjoy.
Sunit and Matt have an in depth dicsussion about raising children in today's climate, what "home education" means and why it is important to understand the history of complusory schooling. If you are concerned about the direction our schools are heading, and wanting to take your power back, this is a great episode to get started! Learn more about Apogee Strong and Matt at: https://apogeestrong.com/leadership/
We're talking about a very cute dog Pokemon whose name is Rockruff! But could its adolescent aggression make it too rough to handle for some trainers? Join us as we find out and also discuss Pokemon's inherent ethical fallacies while doing our best to not devolve into a podcast where Will just explains all of True Blood to Braden! Follow along with the entries below: Sun: It's considered to be a good Pokémon for beginners because of its friendliness, but its disposition grows rougher as it grows up. Moon: This Pokémon has lived with people since times long ago. It can sense when its Trainer is in the dumps and will stick close by its Trainer's side. Ultra Sun: As they develop, their disposition grows more violent and aggressive. Many Trainers find them too much to handle and abandon them. Ultra Moon: When it rubs the rocks on its neck against you, that's proof of its love for you. However, the rocks are sharp, so the gesture is quite painful! Sword: This Pokémon can bond very strongly with its Trainer, but it also has a habit of biting. Raising a Rockruff for a long time can be challenging. Shield: This Pokémon intimidates opponents by striking the ground with the rocks on its neck. The moment an opponent flinches, Rockruff attacks. Scarlet: This Pokémon is very friendly when it's young. Its disposition becomes vicious once it matures, but it never forgets the kindness of its master. Violet: This Pokémon travels in a pack with others until it grows up. When its mood turns sour, it starts striking the ground with the rocks on its neck. Photodex: Rockruff is really good at making friends, which we saw when it was playing happily with some other Pokémon. But it's also brave enough to protect its friends if something were to threaten them. BTB: Doggy cute as heck. But it's gonna get real mean so you'd better be up to the challenge. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
Welcome to the Primeape episode! In which we explore the differences between monkeys and apes, Pokemon and boxers, rage and serenity, and more. Follow along with the entries below: Red & Blue: Always furious and tenacious to boot. It will not abandon chasing its quarry until it is caught. Yellow: It stops being angry only when nobody else is around. To view this moment is very difficult. Gold: If approached while asleep, it may awaken and angrily give chase in a groggy state of semi-sleep. Silver: It becomes wildly furious if it even senses someone looking at it. It chases anyone that meets its glare. Crystal: It will beat up anyone who makes it mad, even if it has to chase them until the end of the world. Ruby & Sapphire: When PRIMEAPE becomes furious, its blood circulation is boosted. In turn, its muscles are made even stronger. However, it also becomes much less intelligent at the same time. FireRed: It is always outrageously furious. If it gives chase, it will tenaciously track the target no matter how far. Diamond, Pearl & Platinum: It grows angry if you see its eyes and gets angrier if you run. If you beat it, it gets even madder. Sun: It has been known to become so angry that it dies as a result. Its face looks peaceful in death, however. Moon: Some researchers theorize that Primeape remains angry even when inside a Poké Ball. Ultra Sun: It will never forgive opponents who have angered it. Even after it has beaten them down until they can't move, it never ever forgives. Ultra Moon: The blood vessels in its brain are sturdier than those of other Pokémon, so it can stay healthy despite its constant raging. Dark Primeape: Although Primeapes have always been mean, lately they seem to be becoming even more vicious and frenzied. BTB: If you anger it, and you will, just play dead and take it because if you make it even angrier it might die. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
Episode 200 is finally here and we're of course going to discuss the winner of our listener poll, Mankey! Perhaps Braden's favorite Pokemon, this little furball is really heckin' steamed and we're gonna try our best to find out why! Follow along with the entries below: Red & Blue: Extremely quick to anger. It could be docile one moment then thrashing away the next instant. Yellow: An agile POKéMON that lives in trees. It angers easily and will not hesitate to attack anything. Gold: It is extremely ill-tempered. Groups of them will attack any handy target for no reason. Silver: It's unsafe to approach if it gets violently enraged for no reason and can't distinguish friends from foes. Crystal: It lives in groups in the treetops. If it loses sight of its group, it becomes infuriated by its loneliness. Ruby & Sapphire: When MANKEY starts shaking and its nasal breathing turns rough, it's a sure sign that it is becoming angry. However, because it goes into a towering rage almost instantly, it is impossible for anyone to flee its wrath. Emerald: When it starts shaking and its nasal breathing turns rough, it's a sure sign of anger. However, since this happens instantly, there is no time to flee. FireRed: Light and agile on its feet, and ferocious in temperament. When angered, it flies into an uncontrollable frenzy. Diamond, Pearl & Platinum: It lives in treetop colonies. If one becomes enraged, the whole colony rampages for no reason. Sun: It can spontaneously become enraged. Everyone near it clears out as it rampages, and the resulting loneliness makes it angrier still. Moon: Its raging tires it out and causes it to fall asleep, but the anger resonating in its dreams causes it to wake up—which infuriates it all over again. Ultra Sun: The smallest of things could cause it to lose its temper. Because it doesn't hold in its stress, this Pokémon can live a long time. Ultra Moon: If one gets angry, all the others around it will get angry, so silence is a rare visitor in a troop of Mankey. BTB: The angriest angry Pokemon in the world. An unstoppable, furry ball of noise and violence. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
Today Sunit sits down with Kid Carson and they chat about his childhood, early years, and how he got into radio. They also chat about what he was thinking when he decided to go rogue at his most recent job, and what he is doing now. Sunit is honored to be speaking at the Kid Carson and Friends event in Vancouver this weeked. Get your live streaming tickets and catch the recording if you cant make it live! Get your tickets here Catch Kid on Instagram! Like the show? Please take a moment to share a rating and ***** review! Your ratings and reviews mean so much and help our show get found!
TIR speaks with historian Sunit Singh (and Spencer Leonard) about his recent article on the "Rushdie Affair". https://www.sublationmag.com/.../the-ghost-of-joseph... About TIR Thank you for supporting the show! Remember to like and subscribe on YouTube. Also, consider supporting us on Patreon at https://www.patreon.com/join/BitterLakePresents Check out our official merch store at https://www.thisisrevolutionpodcast.com/ Also, follow us on... https://podcasts.apple.com/.../this-is.../id1524576360 www.youtube.com/thisisrevolutionpodcast www.twitch.tv/thisisrevolutionpodcast www.twitch.tv/leftflankvets https://www.facebook.com/Thisisrevolutionpodcast/ Instagram: @thisisrevolutionoakland Follow the TIR Crüe on Twitter: @TIRShowOakland @djenebajalan @DrKuba2 @probert06 @StefanBertramL @MadamToussaint @MarcusHereMeow Read Jason's column in Sublation Magazine here:https://www.sublationmag.com/writers/jason-myles
Sunit sits down with activist "Magay 45" (follow her on Instagram) Rachel is a lesbian woman who has decided to speak out against the trans movemement infiltrating our society right now. Sunit and Rachel discuss what is happening, as well as her own upbringing and how she feels so strongly about children. They both talk about inclusivity, what it means, and why they are so bothered by what is happening in schools. This is a MUST LISTEN! If you are a parent with a child in the system it is so important to know your rights and how best to approach your kids. This episode will support you in your parenting! This episode is sponsored by TWC Health. Check out TWC for your private healthcare needs (in the US), and also for the best supplements! Use code "SUNIT10" at checkout! Use our link to poke around! https://www.twc.health/theholilife
Episode Highlights: Conscious parenting, Homeschooling, socratic method, critical thinkers, “waking up” Summary: Sunit Suchdev aka. “Sunit Speaks” returned to the Mental Wealth Podcast this week and joined Kaylor to jam on all things homeschooling and being a conscious parent. You may remember Sunit and Kaylor's last epic convo Episode 112: Trolling Justin Trudeau, Pharmaceutical Industry and Common Sense. In this week's episode they discuss: How the “awake” community is changing, the different levels of awakeness and how she is creating boundaries while continuing to be aware of what's going on in the world The types of things she and her family are doing to plan and prepare to free themselves of the system Why she decided to homeschool her kids and addressed the myths around socialization and encouraging parents to decide what's best for their kids Conscious parenting, using the socratic method of learning and allowing kids to come to their own conclusions Sunit has recently pivoted her business and is now going after the school system and helping parents to raise future leaders. If you are on your own homeschooling journey or interested in learning more then you definitely don't want to miss out on this episode, it was such a good discussion! If you enjoyed the episode, please be sure to take a screenshot and share it out on Instagram and tag @thekaylorbetts. Also, please make sure to give us a review and a five star rating if you're loving what we are doing! _____________________________ RESOURCES & LINKS MENTIONED IN THIS EPISODE: Podcast | The Holi LifeWebsite | theholilife.comInstagram | @sunitspeaks ____________________________ IMPORTANT UPDATES: Apply to work 1:1 with Kaylor | https://buildmentalwealth.co/ Follow Kaylor on Instagram | https://www.instagram.com/thekaylorbetts/ _____________________________
On this episode of SPS, we first focus on our Annual International Convention (March 29–April 1), which will take place in Chicago, at the University of Chicago, Northwestern University, & the School of the Art Institute of Chicago. Planning committee members, Ryan & Ethan introduce the convention theme, panels, and historical concerns across the upcoming events. Our second segment is a deep dive into the Platypus archives on the question of imperialism & anti-imperialism, prompted by the one-year anniversary of the Ukrainian War, and the twentieth anniversary of the Iraq War. Members, Sunit & Farsad, join Lisa and Rebekah to reflect on the Platypus panels on the Ukraine crisis a year ago, and on the recent developments of the anti-imperialist and anti-fascist Left. They go back to the founding moment of Platypus and the very first panel "Imperialism: what is it, why should we be against it?" (2007). Platypus International Convention 2023 program: https://platypus1917.org/platypus-international-convention/15th-annual-platypus-international-convention-history-and-class-consciousness/ Convention Segment Links: > Mike Macnair "The Philosophy Trap" (2013): https://weeklyworker.co.uk/worker/987/lukacs-the-philosophy-trap/ > CPGB/Platypus dialog in full (2013): https://chriscutrone.platypus1917.org/wp-content/uploads/2013/04/cpgbcontralukacs031513.pdf > Chris Cutrone "CPGB Contra Lukacs" (2014): https://www.youtube.com/watch?v=FyAx32lzC0U (in the PR: https://platypus1917.org/2014/02/01/why-still-read-lukacs-the-place-of-philosophical-questions-in-marxism/) Imperialism & Anti-imperialism Segment Links: > 2007: Panel: Imperialism: What is it, why should we be against it?https://platypus1917.org/2010/07/09/imperialism-what-is-it-why-should-we-be-against-it/ > 2022: Chris Cutrone "Ukraine: More of the same" https://platypus1917.org/2022/04/01/ukraine-more-of-the-same/ > 2022: Crisis in Ukraine and the Left Panel iterations: >>> Frankfurt: https://www.youtube.com/watch?v=gIPr7AyMWak&list=PLNc4xGUuaRwmAmGIlzqMgDuAkQNP-T0sW&index=4 >>> online in German: https://www.youtube.com/watch?v=PiFxUcBxYqQ&list=PLNc4xGUuaRwmAmGIlzqMgDuAkQNP-T0sW&index=7 >>> online in English: https://www.youtube.com/watch?v=3js9LcbDTY0&list=PLNc4xGUuaRwmAmGIlzqMgDuAkQNP-T0sW&index=6 > 2007: Interview with Tariq Ali by Chris Cutrone https://archive.org/details/TariqAliInterviewedByChrisCutronePlatypusChicago > 2020: Panel “Imperialism and the Left” https://platypus1917.org/2020/07/01/imperialism-and-the-left/ and https://platypus1917.org/2020/09/01/imperialism-and-the-left-2/ > debate between Tariq Ali and Christopher Hitchens: https://www.youtube.com/watch?v=5atWb_LD-2I > 2016: Panel "Was ist Imperialismus? Warum sollten wir dagegen sein?" https://platypus1917.org/2016/06/24/podiumsdiskussion-vom-16-06-2016-ist-imperialismus-warum-sollten-wir-dagegen-sein/
Dewpider's size has grown exponentially through evolution just as Araquanid's Pokedex entries have grown exponentially more unsettling! Heads up arachnophobes and thalassophobes, this episode may not be the one for you! Follow along with the entries below: Sun: It delivers headbutts with the water bubble on its head. Small Pokémon get sucked into the bubble, where they drown. Moon: Despite what its appearance suggests, it cares for others. If it finds vulnerable, weak Pokémon, it protectively brings them into its water bubble. Ultra Sun: It usually passes its time in the water. When its belly is full, it stores its subdued prey in the water bubble on its head. Ultra Moon: It has a habit of storing things it values in its water bubble. If its Trainer doesn't watch out, Araquanid will try to put them in its bubble! Sword: It launches water bubbles with its legs, drowning prey within the bubbles. This Pokémon can then take its time to savor its meal. Shield: It acts as a caretaker for Dewpider, putting them inside its bubble and letting them eat any leftover food. BTB: Its head bubble is a horrifying mix of its drowned prey, hungry young, beloved trainers, and pitiable Pokemon. Just a soup of terror. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
We're exploring something different in this episode and intentionally not discussing pediatric care. In this episode we share the incredible story of an enduring friendship between two pediatricians — a friendship that's been both generous and life-changing. Guests: Dr. Jennifer England, a pediatrician with Pediatrics at Cherry Creek, and Dr. Sunit Gill, a pediatrician at Greenwood Pediatrics, both located in Colorado. For more information on Children's Hospital Colorado, visit: childrenscolorado.org
It's time to talk about our new and bubbly spider-friend, Dewpider! We also take an extended dive into the Anime Corner as we cover Dewpider's debut episode, Dewpider Ascending which we highly recommend checking out. Follow along with the entries below: Sun: It crawls onto the land in search of food. Its water bubble allows it to breathe and protects its soft head. Moon: When it comes across enemies or potential prey, this Pokémon smashes its water-bubble-covered head into them. Ultra Sun: When two Dewpider meet, they display their water bubbles to each other. Then the one with the smaller bubble gets out of the other's way. Ultra Moon: It can only breathe oxygen that has dissolved in water, so it wears a water bubble on its head when it walks around on land. Sword: It forms a water bubble at the rear of its body and then covers its head with it. Meeting another Dewpider means comparing water-bubble sizes. Shield: Dewpider normally lives underwater. When it comes onto land in search of food, it takes water with it in the form of a bubble on its head. BTB: It's little spider-baby with a squishy head. It prefers to eat food on land even though it can't breathe up there without a water helmet. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
We're at the end of an evolution line once again as we discuss the big electric ape-man Electivire! Get ready for shocking Pokedex entries and hastily-Googled electricity facts. Follow along with the entries below: Diamond & Pearl: It pushes the tips of its two tails against the foe, then lets loose with over 20,000 volts of power. Platinum: Heedless of enemy attacks, it closes in, shoves its tails onto the foe, then looses high voltage. HeartGold & SoulSilver: As its electric charge amplifies, blue sparks begin to crackle between its horns. Black & White 2: The instant it presses the tips of its tails onto an opponent, it sends over 20,000 volts of electricity into the foe. Sun: It pushes the tips of its tails against its foes and then lets loose a high-voltage current. Its foes are burned to a crisp in an instant. Moon: When it gets excited, it thumps its chest. With every thud, thunder roars and electric sparks shower all around. Ultra Sun: It grips its tail, which spews electricity, and then beats down opponents with the power of its electrified fist. Ultra Moon: A single Electivire can provide enough electricity for all the buildings in a big city for a year. Sword: The amount of electrical energy this Pokémon produces is proportional to the rate of its pulse. The voltage jumps while Electivire is battling. Shield: In terms of electrical-energy output, Electivire is one of the best among all Electric Pokémon. It discharges high-voltage currents from its tails. Legends Arceus: Its evolution was induced by an unusual item, and its electrical output rises along with its heart rate. From its tails, it can unleash an electric current measuring 20,000 volts. BTB: This big electric ape-man will jam so much electricity into you that you'll die incredibly quickly. It's capacity for electricity is seemingly limitless. Professor Neroli: https://poketouch.files.wordpress.com/2023/02/pokemon_sleep_professor_neroli.jpeg Terapagos: https://archives.bulbagarden.net/media/upload/thumb/e/ef/Terapagos.png/600px-Terapagos.png Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
Sunit Interviews a microdosing expert who supports people in their microdosing journies with magic mushrooms. Sunit shares her own pre-concieved ideas about "doing drugs", how she has opened her mind in 2022, and why she is excited for 2023. Microdosing is quickly becoming the latest thing to try and for good reason! Take a listen to this very informative episode! Learn more what Julie does here: https://www.juliecyvonne.com/UYM
We're starting down the road to 200 with a fan-favorite this episode, Riolu! Lying just beyond that tought-but-cute exterior lies perhaps the mostly finely-tuned vibes radar in the Pokemon world. The Pokedex here also introduces us to an exciting new metric, Large Landmasses Crossed Per Night! Follow along with the entries below: Diamond: The aura that emanates from its body intensifies to alert others if it is afraid or sad. Pearl: Its body is lithe yet powerful. It can crest three mountains and cross two canyons in one night. Platinum: It has the peculiar power of being able to see emotions such as joy and rage in the form of waves. HeartGold & SoulSilver: They communicate with one another using their auras. They are able to run all through the night. Black & White 2: It uses the shapes of auras, which change according to emotion, to communicate with others. Sun: It can discern the physical and emotional states of people, Pokémon, and other natural things from the shape of their aura waves. Moon: It's tough enough to run right through the night, and it's also a hard worker, but it's still just a youngster. Ultra Sun: It knows how people and Pokémon feel by looking at their auras. It doesn't approach dangerous opponents. Ultra Moon: It uses waves called auras to communicate with others of its kind. It doesn't make any noise during this time, so its enemies can't detect it. Sword: It's exceedingly energetic, with enough stamina to keep running all through the night. Taking it for walks can be a challenging experience. Shield: It can use waves called auras to gauge how others are feeling. These same waves can also tell this Pokémon about the state of the environment. Legends: Arceus: Though infantile in appearance, it has the mysterious ability to read the minds of humans. The pure of heart are met with Riolu's approval, while those of ill nature earn only its loathing. BTB: This little Chibi Anubis is always on the grind and it KNOWS how you feel. Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
Cottonee has evolved into Whimsicott and is ready to play some pranks wherever the wind may take it. Make sure you close your windows tight on windy nights and arm yourself with knowledge from Beyond the Ball to protect yourself from a cottony fate! Follow along with the entries below: Black: Like the wind, it can slip through any gap, no matter how small. It leaves balls of white fluff behind. White: Riding whirlwinds, they appear. These Pokémon sneak through gaps into houses and cause all sorts of mischief. Black & White 2: They appear along with whirlwinds. They pull pranks, such as moving furniture and leaving balls of cotton in homes. Sun: It rides on the wind and slips into people's homes. After it has turned a room into a cotton-filled mess, it giggles to itself and takes off. Moon: This Pokémon appears, riding upon the wind. But if the wind gusts up, it'll blow the cotton on this Pokémon's head clean off. Ultra Sun: This nuisance sneaks into people's homes, where it hides important things and scatters cotton all over the place. Ultra Moon: Whimsicott doesn't live in a fixed location. It floats around on whirling winds, appearing all over the place to perform its mischief. Sword: It scatters cotton all over the place as a prank. If it gets wet, it'll become too heavy to move and have no choice but to answer for its mischief. Shield: As long as this Pokémon bathes in sunlight, its cotton keeps growing. If too much cotton fluff builds up, Whimsicott tears it off and scatters it. BTB: This little jerk will break into your house and mess up all your stuff with cotton. This pleases it, but you can make it feel bad by confronting it. Whimsicott card art by kodama Whimsicott without its cotton Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose Leave us a tip at https://ko-fi.com/beyondtheball
Sunit speaks with Tanya Gaw of Action 4 Canada. Action4Canada is a grassroots movement reaching out to millions of Canadians and UNITING our voices in opposition to the destructive policies tearing at the fabric of this nation. Through Call To ACTION campaigns, they equip citizens to take action. Action 4 Canada is committed to protecting… FAITH, FAMILY and FREEDOM. They discuss what is happening in schools, the political landscape of canada, and all the initiatives that are being worked on and how we can all get involved. Go to their website to learn more: https://action4canada.com Join Avtion 4 canada here: https://action4canada.com/join/ Check to see if there is a chapter near you: https://action4canada.com/a4c-chapters/
This is the final chapter of Wingspan, closing out Magpie and Luca's story, and opening us up to Farfalla's... but that will come at another time. More specifically, it will come in January of 2023 with season 3 of The Skylark Bell podcast in which we'll read SkyeDive, the third and final book in the Skylark Trilogy.Be sure to listen to the end of this episode for the premier of a new song by Cannelle, inspired by this story, called Embers & Ash. Both the version featured in this episode as well as an acoustic version are available to Patreon subscribers, join us at http://www.patreon.com/melissaoliveriThe Skylark Bell is brought to you by: Phaeton Starling Publishing and Things with Wings Productions.The Skylark Bell official website - http://www.theskylarkbell.comThe Skylark Bell on Instagram: @theskylarkbellAuthor/Producer: Melissa Oliveri - http://www.melissaoliveri.comJoin Melissa's Patreon for early access to podcast episodes, music downloads, and more: http://www.patreon.com/melissaoliveriMelissa on Twitter: @melissaoliveriAll music by Cannelle: http://www.cannellemusic.comCannelle on Instagram: @cannelle.musicOfficial Merch Shops: http://www.melissaoliveri.com/storeFULL TRANSCRIPT:Things with Wings Productions presents: Episode 38 of The Skylark Bell, Wingspan. I am your host, Melissa Oliveri. In our previous episode, Magpie, still living as Farfalla, tried to warn her younger self of what the future holds before she passed away, but her plan was foiled by the appearance of Dealan-de.In today's episode we read Chapter 38 – Epilogue - in which we learn a little bit more about what happened after those final moments.This is the final chapter of Wingspan, the 2nd book in The Skylark Trilogy. Season 3 will feature the third and final book, titled SkyeDive, which will delve into the story of the original Farfalla, and how life, distance, and time can transform a person.Between now and the start of season 3 in January, I will be sharing various original stories, including a couple of Halloween specials, and some tales from my other podcast, A Carefully Built Pretend. I also do monthly live storytimes on my Instagram account, @ the skylark bell (just check the show notes for links).Be sure to listen through to the end of this episode for the premiere of a brand new song called Embers and Ash, which was inspired by the tragic tale of Magpie and Lucas.Now, it's time to settle in… grab a blanket, and a warm drink… Here is the short and sweet finale of The Skylark Bell - Wingspan.I sit and stare at her body for a long time, slowly running my eyes over her face. Perhaps it is what my face would have looked like, eventually. A roadmap of smiles, frowns, and tears etched over the course of decades. I can't help but admire that wild, white, wavy hair that never allowed itself to be tamed over the course of more than a century. It is remarkable, I suppose. I must admit, she caught me by surprise when she grabbed my arm! How clever of her to use me as a conduit to take her a few paces into the future. I can't help but feel some respect for her, and some sadness. After all, she is family. Of course, her little stunt won't work. But you already know that.I've already thrown her diary into the fireplace. The only story that matters is mine. But that is a story for another time…Thank you so much for listening. This concludes Season 2 of The Skylark Bell. I truly hope you've enjoyed the story and following Magpie and Lucas' adventures through distance and time. Be sure to subscribe so you can be notified when Season 3 launches in January! This time, we'll be revisiting the story from Farfalla's persepective – and this time we're talking about the REAL Farfalla.The Skylark Bell is brought to you by Phaeton Starling Publishing and features original music by Cannelle. I would love for you to join me on Patreon for additional content and be sure to follow my social media accounts where I share regular updates and previews. The Skylark Bell has become an award winning podcast thanks to your support and listenership with season 1 winning Best Podcast in the Multi-Dimension Independent Film Festival, Finalist in the Swedish International Film Festival, and being a Selection in both Flicker's Rhode Island Film Festival and Minnesota Web Fest.Once again, thank you, this story, this podcast, wouldn't be possible without your support and listenership. Now I'm off to write more mystical magical stories, but I'll be back in no time, no time at all...Embers & AshI'll be gone from the wreckageLeaving it all behindHolding fast to the waterSlipping through my fingersIt's the wrong time, the wrong time,the wrong time for usTwisted hearts in the rubbleSplit souls in their wakeWe were tired and troubledStar crossed and ill fatedIt's the wrong time, the wrong time,the wrong time for usIt can't be time to say goodbye (don't go)I'll hold on to the embersBurning in my palm‘Til they're nothing but ashesFloating under the same sunIt was the wrong time, the wrong timeThe wrong time for usSupport this podcast at — https://redcircle.com/theskylarkbell/exclusive-contentAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
Sunit sits down with Kaya Usher, a beautiful soul who has come into frequency work through her own difficult times in her life's journey. From battling breast cancer, almost dying on the operating table, and then losing the love of her life, lead singer, Gord Downie, of the Tragically Hip to brain cancer, to coming out on the other side, with a higher sense of self and purpose..she is now changing lives through her amazing work. Kaya has a variety of options for helping people level up in their life, whether its her book, her course, her free community, or her music. You can see all that she offers on her website..there is something for everyone ranging from free to paid! This episode is a must listen for anyone feeling that call.. "something isnt working...I know there is more, I need help guiding me to feeling better". Check out ALL that Kaya is up to: https://kayausher.com https://thesimplicityplatform.com/events/ Follow Kaya on IG: https://www.instagram.com/thekayausher/
In this IG live, Sunit and Andre of whattheeffjall on Instagram sit down and talk about it ALL. From what happened to him on IG, how he felt, what he's doing now and what his plan is moving forward...to relationships of all kinds. They talk about how to find love as an awake and unjabbed person, what to know if you're jabbed, the keys to a successful marriage, and how to handle friends and family not on the same page. They end it off by chatting about kids, and stay tuned for the raw ending where they talk about hosting a retreat for singles~!
Dusty Imoo is a former NHL and professional hockey league goalie coach who now works with athletes, kids and families. Sunit and Dusty talk about the door that closed for Dusty, how he navigated it, and what he does now. They talk about kids, mindset in sports, and even parenting. Lots of wisdom for moms and dads alike in this one! Check out Dusty on instagram: https://www.instagram.com/dustyimoo70/ Check out his website: https://www.thegoalietherapist.com
It's time to talk about one of Braden's faves and a real cool customer, Sneasel! Join us as we discuss the Sharp Claw Pokemon, the problematic representation of Dark type Pokemon, Taggerung and more! Follow along with the entries below: Gold: Its paws conceal sharp claws. If attacked, it suddenly extends the claws and startles its enemy. Silver: Vicious in nature, it drives PIDGEY from their nests and feasts on the eggs that are left behind. Crystal: This cunning POKéMON hides under the cover of darkness, waiting to attack its prey. Ruby & Sapphire: SNEASEL scales trees by punching its hooked claws into the bark. This POKéMON seeks out unguarded nests and steals eggs for food while the parents are away. Diamond: It feeds on eggs stolen from nests. Its sharply hooked claws rip vulnerable spots on prey. Pearl: It is extremely vicious and will not stop attacking until its foe is incapable of moving. Platinum: A smart and sneaky Pokémon. A pair may work together to steal eggs by having one lure the parents away. Black & White 2: A smart and sneaky Pokémon, it makes its opponents flinch by suddenly showing the claws hidden in its paws. Sun: It has a cunning yet savage disposition. It waits for parents to leave their nests, and then it sneaks in to steal their eggs. Moon: It uses its claws to poke holes in eggs so it can slurp out the insides. Breeders consider it a scourge and will drive it away or eradicate it. Ultra Sun: They will cooperate to steal eggs from the nests of bird Pokémon, but fights break out to determine which one gets to eat the eggs. Ultra Moon: It blends into the dark of night to ambush its prey. Sneasel will attack Sandshrew, but its hard skin can cause Sneasel's claws to snap off. Legends: Arceus: This Pokémon shares roots with the Sneasel of Hisui, but unlike that species, this one is spiteful in personality. I hypothesize that water and earth can affect Sneasel's mind and body. BTB: It loves to eat eggs and it's trying its best to get them, and it could do without the judgment thank you very much. References: DC Pride comic: https://www.dccomics.com/comics/dc-pride-2022-2022/dc-pride-2022-1 Kamaitachi https://en.wikipedia.org/wiki/Kamaitachi Cover design by Kwesi Phillips Music by Junichi Masuda and Go Ichinose
Continuing on with the theme of mental health, Sunit interviews Kaylor Betts. This episode is chock FULL of juicy tidbits. Kaylor shares his own mentl health struggles in his young life and how he pulled through them. They discuss western medicine, holistic health, current affairs, optimum diet, and all sorts of other details like.. -Kaylor's minute by minute account of when he went 'viral" -if he would ever date someone who is vaccinated -how he eats to thrive And much, much more! Follow Kaylor on IG: https://www.instagram.com/thekaylorbetts/ Check out his website: https://buildmentalwealth.co Dont forget to leave a rating and a review!
Sunit and Dr Joseph Yi discuss the state of the world, how he got to where he is today, and how to master your mental health. A great episode with lots of great tips to level up! Follow Dr Yi on Instagram: https://www.instagram.com/yojimd/
Sunit interviews mom of 5, restaurateur, small business owner and holistic freedom fighting mama, Rebecca Matthews. They discuss everything from motherhood, homeschooling, and babywearing, to diet, wokism, and vaccines. Go follow Rebecca on her journey on Instagram: https://www.instagram.com/corduroyrestaurant/ Listen to her podcast: HERE Get your goovi fuel tabs here: Goovi
The Desi VC: Indian Venture Capital | Angel Investors | Startups | VC
Sunit Gajbhiye is the Co-Founder, Business Head at Financepeer. Prior to this he was Product Manager at EdgeVerve, Infosys. Sunit is an IIM and VJTI alumnus with 6+ years of experience in Business Operations and Product Management.Financepeer, a Series B fintech startup backed by Aavishkaar Capital, QED Investors, 9Unicorn and Earlsfield Capital. The startup provides the entire year fee collection upfront to the School at the beginning of the year and collects fees from parents in monthly instalments that too at Zero Additional cost. Financepeer is spread across 60+ cities with over 6000+ school/ Institute partnerships. The Startup has so far impacted more than 15 lakh families by providing them no-cost-fee financing.Financepeer's peer-to-peer lending platform connects individual borrowers to lenders digitally. It uses an algorithm that quantifies risk from credit and non-credit bureau channels by leveraging artificial intelligence (AI).In this episode we will cover:1. Brief overview of Financepeer2. Structuring the fundraise (2:30)3. How to best leverage the angel network (6:30)4. Thinking through the seed stage fundraise and deployment of capital (8:18)5. Managing relationships with investors (11:05)6. Exit conversations (secondaries) and alignment (20:01)7. When to raise Series A (21:50)8. Why now and how much to raise (26:35)
The Holi life is all about living your best, most authentic and empowered life. Mind, body, soul health is the name of the game. Politics never played a part until we realized how much it can determine the rest of our mindset and mental health! Today, Sunit interviews political woman of wisdom-Sarah Swain. They discuss all things Canadian politics and you will feel empowered, inpsired and EDUCATED. A democracy means the citizens have the power-which means we need to actually TAKE PART in what is happening. This episode is like a university level politics class..you will learn so much. Join in so you can understand what is needed next to save our country and bring it back to the democracy it is meant to be.
On today's bonus episode, Sunit shares feedback from a recent social media post where she commented that kids seem like snowflakes these days and gives some tips on things to be thinking about when raising your own. She summarizes by reminding everyone to think beyond the current moment. Think ahead 5, 10, 15, 20 years about what kinds of humans you want to hand over to this planet and then reverse engineer your parenting to raise your kids in alignment with that. Listen in and share if it resonates!
What's up to my verdant vicuñas and riotous rockhoppers! Welcome back to the BNP everyone and thank you so much for joining. Shouts to my patrons: you're the creosote in my medicinal Chaparral tea, thank you for being anti-viral and alleviating stomach cramps! You are appreciated. This week's ep is a fun one folks! We got the zany audio tidbits. We give a tip of the hat to Ostara, the Saxon Goddess of the Dawn and Patroness of the Spring Equinox. We got Terence McKenna talking about the world being made of magic. We have a meandering solo meditation on the Source of all True Motivation, techniques for discovering one's deeper purpose and the spiritual salve that is creative expression.Switching gears to more utilitarian matters, we then discuss is the Smith-Mundt Modernization Act, which was ushered in by everyone's favorite narcissist, ex-prez O-bomb-a, and which makes it perfectly legal and chill for the American intelligence and security state to propagandize directly to American citizens. I know, shocking right? Ahem.Next we take a look at the highly suspicious auto wreck that killed the investigative journalist Michael Hastings, and finally we take a trip south of the Caribbean to Venezuela, to visit the Luisa Cáceres de Arismendi Commune, which has successfully taken over trash collection and management of the general store in its hometowns of Barcelona and Puerto la Cruz, and which shows how genuine self-governance outside the purview of the state is possible. If y'all like what you hear each week on the BNP, you can help me stay on the air by becoming a patron for as little as $1/month at: www.patreon.com/noetics. You get a dream interpretation and an original haiku when you sign up! Thank you for spreading the word and telling a friend about the BNP! Don't forget to rate, review and subscribe wherever you listen to pods. Follow the BNP on Instagram @barbarian_noetics.Email the pod at: barbarian.noetics@gmail.com.Until next week,Be exquisite to yourself,to each other, and to all the non-binary bobcats out there.One Love,Little Raven KAWWW TRACKLIST FOR THIS EPISODEBjorn Lynne - Royalty Free Corporate Music Dykotomi - Corvid CrunkDevin the Dude - I'm Just Getting Blowed Terence McKenna - The World Is Made of Magic (Talk)Alexei Zacharov - Tear ChannelLouis Black - Bipartisanship (Live Comedy Bit)George Carlin - Politicians (Live Comedy Bit)Bar-Kays - Shake Your Rump to the FunkLil Jon & LMFAO - Outta Your MindPoolside - Around the SunIt's Raining, Listening To Lo Fi In The Car (Mix)Lil Jon & LMFAO - ShotsJulio Cruz - Voy BienLINKSSmith-Mundt Info: https://jonathanturley.org/2012/05/20/how-about-some-government-propaganda-for-the-people-paid-for-the-people-being-propagandized/Michael Hastings Info: https://www.news.com.au/finance/business/media/wikileaks-vault-7-dump-reignites-conspiracy-theories-surrounding-death-of-michael-hastings/news-story/0df1d06403d0223ce1cfc286a1e75325Support the show (http://www.patreon.com/noetics)
In this first episode of Season 10, Sunit goes solo to discuss why so many of us are not wanting to rock the boat, people pleasing, and how evolution does not seem to be aligned in all areas of our lives. For instance, technology has evolved greatly while humans are more emotionally and physically depleted than ever before. What is the reason for this? How do we do better? And how can this change the trajectory of the path we are on? Tune in for all this and more! Dont forget to leave a rating and a review so more people can find our show! Get on the email list in case we get censored! www.theholilife.com
Sunit Kaur îs a mother, home school teacher, podcast host and the latest official humorous opposition in Canadian politics and media. Find her at www.theholilife.com