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Marble: A Multimodal World Model
- hobofan 11mo agoDuplicate: https://news.ycombinator.com/item?id=45902732 https://news.ycombinator.com/item?id=45902732
- cubefox 11mo agoImpressive!
- keyle 11mo agoI'm floored. Incredible work. also check out their interactive examples on the webapp. It's a bit more rough around the edges but shows real user input/output. Arguably such examples could be pushed further to better quality output. e.g. https://marble.worldlabs.ai/world/b75af78a-b040-4415-9f42-6dd5b246b3a6 https://marble.worldlabs.ai/world/b75af78a-b040-4415-9f42-6d... e.g. https://marble.worldlabs.ai/world/cbd8d6fb-4511-4d2c-a941-f4cec729a35d https://marble.worldlabs.ai/world/cbd8d6fb-4511-4d2c-a941-f4...
- moi2388 11mo agoVery cool tech, extremely annoying voice over.
- wongarsu 11mo agoUnsurprisingly the results are by far the best in the area shown in the image in the prompt, and quickly deteriorate beyond it, or more than a couple meters behind the camera. It's worlds better than just doing gaussian splats from images, but given how much the quality is influenced by images the limit to four images with text prompt or eight images without prompt is quite limiting. That's plenty to describe a chair, but almost nothing to describe a home or a space station. I hope they can extend those limits in future updates
- girfan 11mo agoThis seems very interesting. Timely, given that Yann LeCun's vision also seems to align with world models being the next frontier: https://news.ycombinator.com/item?id=45897271 https://news.ycombinator.com/item?id=45897271
- lofties 11mo agoAn established founder makes claims X is the new frontier. X receives hundreds of millions in funding. Other less established founders claim they are working on X too. VCs suffering from terminal FOMO pump billions more into X. X becomes the next frontier. The previous frontiers are promptly forgotten about.
- whizzter 11mo agoI think it's a bit confusing when it comes to terminology, this seems more graphics focused while I suspect that a 10 year plan as mentioned by YLC probably revolves around re-architecting AI systems to be less reliant on LLM style nets/refinements and better understand the world in a way that isn't as prone to hallucinations.
- bee_rider 11mo agoWhat’s it going to do, take away funds from the otherwise extremely prudent AI sector?
- msteffen 11mo agoI understand that DeepMind is working on this too: https://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/ https://deepmind.google/blog/genie-3-a-new-frontier-for-worl... I wonder how their approaches and results compare?
- echelon 11mo agoGenie delivers on-the-fly generated video that responds to user inputs in real time. Marble renders a static Gaussian Splat asset (like a 3D game engine asset) that you then render in a game engine. Marble seems useful for lots of use cases - 3D design, online games, etc. You pay the GPU cost to render once, then you can reuse it. Genie seems revolutionary but expensive af to render and deliver to end users. You never stop paying boatloads of H100 costs (probably several H100s or TPU equivalents per user session) per second. You could make a VRChat type game with Marble. You could make a VRChat game with Genie, but only the billionaires could afford to play it. To be clear, Genie does some remarkably cool things. You can prompt it, "T-Rex tap dancing by" and it'll appear animated in the world. I don't think any other system can do this. But the cost is enormous and it's why we don't have a playable demo. When the cost of GPU compute comes down, I'm sure we'll all be steaming a Google Stadia like experience of "games" rendered on the fly. Multiplayer, with Hollywood grade visuals. Like playing real time Lord of the Rings or something wild. Interestingly, there is a model like Google Genie that is open source and available to run on your local Nvidia desktop GPU. It's called DiamondWM [1], and it's a world model trained on FPS gameplay footage. It generates a 10 fps 160x160 image you can play through. Maybe we'll develop better models and faster techniques and the dream of local world models can one day be realized. [1] https://diamond-wm.github.io/ https://diamond-wm.github.io/
- corimaith 11mo agoGraphics have long reached diminishing returns in gameplay, people aren't going to playing VRChat tomorrow for the same reasons today. AI can speed up asset development, but that is not a major bottleneck for video games, what matters is the creative game design and backend systems, which existing on the interaction between players and systems is just about as hard as any management role, if not harder.
- abixb 11mo agoAs someone with barebones understanding of "world models," how does this differ from sophisticated game engines that generate three-dimensional worlds? Is it simply the adaptation of transformer architecture in generating the 3-D world v/s using a static/predictable script as in game engines (learned dynamics vs deterministic simulation mimicking 'generation')? Would love an explanation from SMEs.
- mountainriver 11mo agoThe model is predicting what the state of the world would look like after a given action. Along with entertainment, they can be used for simulation training for robots. And allow for imagining potential trajectories
- deleted 11mo ago[deleted]
- ghayes 11mo agoWhenever I see these and play with models like this (and the demos on this page), the movement in the world always feel like a dolly zoom. Things in the distance tend to stay in the distance, even as the camera moves in that direction, and only the local area changes features. [0] https://en.wikipedia.org/wiki/Dolly_zoom https://en.wikipedia.org/wiki/Dolly_zoom
- echelon 11mo agoMarble is not that type of world model. It generates static Gaussian Splat assets that you can render using 3D libraries.
- echelon 11mo agoThis "world model" is Image to Gaussian Splat. This is a static render that a web-based Gaussian Splat viewer then renders. Other "world model"s are Image + (keyboard input) to Video or Streaming Images, that effectively function like a game engine / video hybrid.
- whizzter 11mo ago
- deleted 11mo ago[deleted]
- badmonster 11mo agoexciting towards world intelligence
- dvrp 11mo agoIsn't this a Gaussian Splat model? I work in AI and, to this day, I don't know what they mean by “world” in “world model”.
- butifnot0701 11mo agobut it sounds cool
- padolsey 11mo agoYeh I still don't think there's a fixed definition of what a world model is or in what modality it will emerge. I'm unconvinced it will emerge as a satisfying 3d game-like first-person walkthrough.
- ProofHouse 11mo agoI think absolutely it will in a year
- voodooEntity 11mo agoYe but there wont be, same as with "agi" and "ai" depends on whom you are asking *shrug
- godelski 11mo ago> I work in AI and, to this day, I don't know what they mean by “world” in “world model”. I have a PhD in ML and a B.S. in physics. What people in ML call a "world model" seems incredibly strange to me. With my physics hat on, a "world model" is pretty clear. It is "a physics." Mind you, there is not one physics, there are competing models and we're just at a point of time that models have converged up to quantum and gravity. But "a physics" can be a model that describes any world, not just the one we live in. For ML models, this should be based on the data they're processing. Ideally we'd want this to be similar to our own, but if it is modeling a "world" where pi=3, then that's still "a physics". The key points here are that a physics is a counterfactual description of the environment. You have to have language to formalize relationships between objects. In standard physics (and most of science) we use math[0], though we use several languages (different algebras, different groups, different branches, etc) of math to describe different phenomena. But the point is that an equation is designed to be the maximum compression of that description. I don't really care if you use numbers or symbols, what matters is if you have counterfactual, testable, consistent, and concise descriptions of "the world". Oddly enough, there are a lot of physicists and former physicists that work in ML but it is fairly uncommon for them to be working on "world modeling." I can tell you from my own experience talking to people who research world models that they respond to my concerns as "we just care if it works" as if that is also not my primary concern. Who the fuck isn't concerned with that? Philosophers? [0] It can be easy to read "The Unreasonable Effectiveness of Mathematics in the Natural Sciences" out of context as we're >60 years past where math has been the lingua Franca of science. But math is a language, we invented it, and it should be surprising that this language is so powerful that we can work out the motion of the stars from a piece of paper. Math is really the closest thing we have to a magical language https://web.archive.org/web/20210212111540/http://www.dartmouth.edu/~matc/MathDrama/reading/Wigner.html https://web.archive.org/web/20210212111540/http://www.dartmo...
- dcl 11mo agoWhat happens when you prompt one of these kind of models with de_dust? Will it autocomplete the rest of the map? edit: Just tried it and it doesn't, but it does a good job of creating something like a CS map.
- padolsey 11mo ago>What happens when you prompt one of these kind of models with de_dust? Presumably de_dust2
- echelon 11mo agoYou both should check out DiamondWM. It runs on Ubuntu and I think Windows, presuming you have an Nvidia GPU. It's exactly what you're talking about. I linked it elsewhere in this thread.
- ProofHouse 11mo agoRIP GTA6
- jtfrench 11mo agoI like that they distinguish between the collider mesh (lower poly) and the detailed mesh (higher poly). As a game developer I'm looking for: • Export low-poly triangle mesh (ideally OBJ or FBX format — something fairly generic, nothing too fancy) • Export texture map • Export normals • Bonus: export the scene as "de-structured" objects (e.g. instead of a giant world mesh with everything baked into it, separate exports for foreground and background objects to make it more game engine-ready. Gaussian splats are awesome, but not critical for my current renderers. Cool to have though.
- ehnto 11mo agoAren't the gausian splats the output here? Or are these worlds fully meshed and textured assets? From my understanding, admittedly quite a shallow look so far, the model generates gaussian splats then from that could implement the collider. I guess from the splat and the colliders you could generate actual assets that could be interactable/animated/have physics etc. Unsure, exciting space though! I just don't know how I would properly use this in a game, the examples are all quite on-rails and seem to avoid interacting too much with stuff in the environment.
- lewispollard 11mo agoThe page shows, near the bottom, how the main output is gaussian splats, but it can also generate triangular meshes (visual mesh + collider). However, to my eye, the triangular meshes shown look pretty low quality compared to the splat: compare the triangulated books on the shelves, and the wooden chair by the door, as well as weird hole-like defects in the blanket by the fireplace. It's also not clear if it's generating one mesh for the entire world, it looks like it is - that would make interactability and optimisation more difficult (no frustrum culling etc, though you could feasibly chop the mesh up into smaller pieces I suppose).
- jtfrench 11mo agoIs Marble's definition of a "world model" the same as Yann LeCun's definition of a world model? And is that the same as Genie's definition of a world model?
- dandersch 11mo agoPretty sure it's used as a marketing term here. They train on images that you generate/give it, but the output of that training is not a model, it's a static 3d scene made up out of gaussian splats. You are not running inference on a model when traversing one of those scenes, you are just rendering the splats.
- v9v 11mo agoAt the very least it differs greatly from "world model" as understood in earlier robotics and AI research, wherein it referred to a model describing all the details of the world outside the system relevant to the problem at hand.
- dr_dshiv 11mo agoVery different, it would seem. Then again, it’s never been clear to me why LeCun believes that LLM architectures don’t inherently produce world models in the course of training.
- aaroninsf 11mo agoNor I. IMO LLM more or less literally cannot do what they do without a world model, not least because much of what language is, is a protocol for making assertions about that model, testing the degree to which it is shared, and seeking to alter the model one carries of one's interlocutor's model. To the "parrot people" I suggest, there is no more optimized mechanism for the inner layers of a network to approach than one which most parsimoniously models the world, so as to correctly emit tokens reflective of that.
- Marshferm 11mo agoIf biology operated this way animals would never have evolved. This is bunk, it has nothing to do with intelligence and everything to do with hyping the oxymoronic/paradox branded as spatial intelligence. It's a flimsy way of using binary to burn energy. Senses do not represent, if we needed them to in order to survive, we'd be dead before we never saw that branch, or that step, etc. This is the same mistaken approach cog-sci took in inventing the mind from the brain. The problem is the whole brain prior to sensory and emotional integration is deeply involved so that an incredibly shallow oscillatory requirement fits atop the depth of long-term path-integration, memory consolidation involving allo and egocentric references of space and time, these are then correlated in affinities by sense emotion relays or values. None of this is here, it's all discarded for junk volumes made arbitrary, whereas the spaces here are immeasurably specific, fused by Sharp Wave Ripples. There's no world model in the instantaneous shallow optic flow response (knowing when to slam on brakes, or pull in for a dive) and in the deep entanglements of memory and imagination and creativity. This is one-size fits all nonsense. It's junk. It can't hope to resolve the space time requirements of shallow and deep experiences.
- saretup 11mo agoCounterpoint: Humans visualize stuff in their minds before trying new things or when learning new concepts. An AI system with LLM based language center and a world model to visualize during training and inference would help it overlap more of human intelligence. Also it looks cool. Edit: After seeing your edited (longer) comment, I have no idea what you’re talking about.
- kkukshtel 11mo agoIncredibly disappointing release, especially for a company with so much talent and capital. Looking at the worlds generated here https://marble.worldlabs.ai/ https://marble.worldlabs.ai/ it looks a lot more like they are just doing image generation for a multiview stereo 360 panoramas and then reprojecting that into space. The generations exhibit all the same image artifacts that come from this type of scanning/reconstruction work, all the same data shadow artifacts, etc. This is more of a glorified image generator, a far cry from a "world model".
- unconstrastive 11mo agoTo be fair, multiview-consistent diffusion is extremely hard - it's an accomplishment of it's own right to get right, and still very useful. "World model" is probably a misnomer though (what even is a world model?). Their recent work on frame gen models is probably a bit closer to an actual world model in the traditional sense (https://www.worldlabs.ai/blog/rtfm https://www.worldlabs.ai/blog/rtfm).
- kkukshtel 11mo agoThey have $230m in funding and some of the best CS/AI researchers in the world. People like Skybox labs have already released stuff that is effectively the same as this with far less capital and resources. This is THE premiere world model company, and the fact their first release is a far cry from the promise here feels like a bit of a bellweather. I agree RTFM is in more of the "right" direction here, and what is presented here is a bit of a derivative of that. Which makes this release so much more crass, as it seems like a ploy to get platform buy in from users more so than a release of a "world model". https://www.skyboxai.net/ https://www.skyboxai.net/ https://worldgen.github.io/ https://worldgen.github.io/
- wongarsu 11mo agoYeah, I'm likewise a bit underwhelmed by the results. If you go in with the expectation that you give it a single image and it's doing gaussian splatting from a single image and a prompt it's phenomenal. If you deviate too far from the image viewpoint it breaks down, but it looks decent long enough to be very usable. But if you go in with the expectation that it's generating "worlds" it's not very good. This only passes as a world in a 20 second tech demo where the user isn't given camera controls My best guess is that they are forced (by investors, lack of investors, fear of the AI bubble, or whatever) to release something, and this was something they could polish up to production quality and host with reasonable GPU resources
- anilgulecha 11mo agoThis is going to take movie making to another level because now we can: 1. Generate a full scene 2. Generate a character with specific movements. Combine these 2, and we can have moving cameras as needed (long takes). This is going to make storytelling very expressive. Incredible times! Here's a bet: We'll have a AI superstar (A-list level) in the next 12 months.
- moi2388 11mo agoAn a-list level actor superstar within 12 months? I’m willing to take that bet. Name any amount you’re willing to lose. Before you agree: movies take more than 1 year to make and get published, and it takes more than 1 movie to make somebody an a-lister
- anilgulecha 11mo agoFair warning, when I last put up a bet in AI video arena, I won! https://www.linkedin.com/posts/anilgulecha_kitsune-activity-7317975013779808256-ePEa https://www.linkedin.com/posts/anilgulecha_kitsune-activity-... Same terms - gentlemen's agreement. The loser owes the winner a meal whenever they meet :). For a HN visitor to blore, I'll happy to host a meal anyway :)
- nmfisher 11mo agoWhat was the 90 minute movie?
- sceptic123 11mo agoThe LinkedIn thread also seems as AI generated there
- qwertytyyuu 11mo agothe last few % that make a a-list actor an a-list actor is the hardest part, i would bet you that its going to take longer than 12 months
- 11mo ago
- john_minsk 11mo agoThis is great. Can I use it with existing scan of my room to fill the gaps? Not a random world Update - yes you can. To be tested.
- john_minsk 11mo agoYou also can't regenerate with the new point of origin. Generate -> stop ... No way to continue? Update - it is a paid feature
- coolfox 11mo agothis prompt seems to be blocked, "Los Angeles moments before a 8mile wide asteroid impacts." others work but when I use that it's always 'too busy'. seems anything to do with asteroids (or explosions I imagine) are blocked.
- theiz 11mo agoNice tech! Would be great if this can also work on factual data, like design drawings. With that it could be used for BIM and regulatory use. For example to showcase to residents how a new residential area will look that is planned. Or to test the layout of a planned airport.
- chaosprint 11mo agoFeifei is a great researcher. But to be honest, the progress her company has made in "world modeling" seems to deviate somewhat from what she has advertised, which is a bit disappointing. As this article (https://entropytown.com/articles/2025-11-13-world-model-lecun-feifei-li/ https://entropytown.com/articles/2025-11-13-world-model-lecu...) summarizes, she is mainly working on 3DGS applications. The problem is that, despite the substantial funding, this demo video clearly avoids the essentials; the camera movement is merely a panning motion. It's safe to assume that adding even a one-second extra second to each shot would drastically reduce the quality. It offers almost no improvement over the earliest 3DGS demo, let alone the addition of any characters.
- Tadpole9181 11mo agoI'm confused, the article talks about static generation. It creates a gaussian splat or models, which are rendered by an engine. This isn't a real-time model or a normal video generator like Sora, or am I misreading?
- venom2001viper 11mo agoIt doesn't seem all great researchers can create great companies or products
- morgango 11mo agoAre we nearing the capability to build something like the Mind's Game (from the Ender's Game book)
- culi 11mo agoI just want to give it a picture of my house and have it show what it could look like organized so I know where to put everything
- Jayakumark 11mo agoGot the same use case, i tried last month with gemini app and it was awful, most rendering was messed up.
- pankajdoharey 11mo agoThis is not a world model, this ise at best the reimplementation of the the NVIDIA prior art around NeRF / 3D Gaussian Splatting and monocular depth, wrapped in a nice product and workflow. What they’re actually shipping is an offline asset generator: you feed it text, images, or video, it runs depth/structure estimation and neural 3D reconstruction, and you get a static splat/mesh world you can then render or simulate in a real engine. That’s useful and impressive engineering, but it’s very different from a proper “world model” in the RL/embodied‑AI sense. Here there’s no online dynamics, no agent loop, and no interactive rollouts; it’s closer to a high‑end NeRF/GS pipeline plus tooling than to something like Google’s Genie/2/3, which actually couples generative rendering with action‑conditioned temporal evolution. Calling this a “world model” feels more like marketing language than a meaningful technical distinction. Infact my definition of a world model is more closer to what Demis has hinted in his discussions, that video gen models like veo are able to intuit they physics from just video trainingdata suggest that there is an underlying manifold in reality that is essentially computable and thus is being simulated by these models. Building such a model would essentially mean building a physics engine of some kind that predicts this manifold.