> SANA-WM uses only ~213K public video clips with metric-scale pose supervision, completes training in 15 days on 64 H100s, and generates each 60-second clip on a single GPU; its distilled variant runs on a single RTX 5090 with NVFP4 quantization to denoise a 60s 720p clip in 34s.
The trouble is the lack of training available to these models compared to the ones like Seedance and Kling who seems to be tapping into their unlimited video inventory. Many models like LTX is technically good but when it comes to slightly different camera movements or the subject interacting with objects they struggle. For a recent example we had to use sample videos generated by closed source models and then use the same for final video.
The world model is useful for planning. It can "anticipate" consequences of actions. This can be used for a kind of tree search to decide on optimal actions in robotics
World models will be how general purpose robots finally work. They are essentially learned simulators of the world. They will replace traditional robotics simulators which are not flexible enough to enable training of general robotics policies. Robot control policies will be trained and evaluated in learned simulators, and the policies themselves will also be world models in order to predict the consequences of their own actions and thus enable planning. Simulated data will scale much better than expensive real-world robot data, and will allow robot policies to reach LLM-level dataset sizes, and subsequently, LLM-level performance.
By enabling general purpose robotics, world models will be one of the most useful inventions of all time. For examples of what I'm talking about in current research, check:
Right now there is (AFAIK) no world model product booking any meaningful revenue. So there's a decent chance WMs turn out to have no long-term utility at all.
However, there are a few promising markets, assuming WMs continue to get better and cheaper:
1. Robotics training / evaluation: modern end-to-end (sensors-to-control) robot policies require simulators that are almost indistinguishable from reality. If your sim is distinguishable from reality, the evaluation metrics you get from sim don't mean anything and the policies you train in sim don't work. World models will likely be the highest-fidelity robotics simulators, since WMs are data-driven and get arbitrarily more-realistic given more data/compute. This is why so many robotics companies have WM projects [1] [2] [3] [4].
2. Video frontends for agents: in the same way that today's frontier labs are building realtime voice interfaces [5] which behave like a phone call, realtime video interfaces will behave like a video call. Early forms of this don't feel compelling IMO [6] [7], but once the models can instantly blend between rendering the agent itself, drawing diagrams/visualizations, rendering video, etc. I can see it surpassing pure voice mode.
3. Entertainment: zero-shot world generation (i.e. holodeck, genie 3; paste in an image/video/text prompt and get a world) will be a fun toy but I'm not convinced it has any long-term value. I'm more optimistic about proper narrative experiences where each scene/level is a small, carefully-crafted world (behaving like a normal film scene if you don't touch the controls, and an uncharted/TLoU-style narrative game if you do), such that the sequence of scenes builds up a larger story.
I struggle with these world models from the perspective of video games (so this post is a particular perspective).
I'm not a game developer myself, but some of my favorite games carry a deep sense of intentionality. For instance, there is typically not a single item misplaced in a FromSoftware game (or, for instance, Lies of P -- more recently). Almost every object is placed intentionally.
Games which lack this intentionality often feel dead in contrast. You run into experiences which break immersion, or pull you out of the experience that the developer is trying to convey to you.
It's difficult for me to imagine world models getting to a place where this sort of intentionality is captured. The best frontier LLMs fail to do this in writing (all the time), and even in code, and the surface of experiences for those mediums often feel "smaller" than the user interaction profile of a video game.
It's not clear how these world models could be used modularly by humans hoping to develop intentional experiences? I don't know much about their usage (LLMs are somewhat modular: they can produce text, humans can work on it, other LLMs can work on it). Is the same true for the video output here?
All this to say, I'm impressed with these world models, but similar to LLMs with writing, it's not really clear what it is that we are building towards? We are able to create less satisfying, less humane experiences faster? Perhaps the most immediate benefit is the ability for robotic systems to simulate actions (by conjuring a world, and imagining the implications).
In general, I have the feeling that we are hurtling towards a world with less intentionality behind all the things we experience. Everything becomes impersonal, more noisy, etc.
What does intentionality mean in the context of a world model generated game-world? I guess true human intention would have been throw out the window already at that point.
One aspect of intentionality is that there’ll be a narrative payoff when you find something you find interesting. In videogames, the world is mostly pre-designed, so the designer has to predict what you’ll be interested in for the most part (In pen and paper RPGs, this is usually done better, because the human dungeon master/DM can plan ahead, but also improvise a payoff or modify the plot between sessions). If there was a world model generated game world, I guess the model would have to be “smart” though to setup and execute those payoffs.
An advantage that the world model would have (and shares with a good human DM) is that everything is an interactable, and the players get to pick what they think is interesting. If everything is improv with a loose skeleton around it, you don’t have to predict as far out. I think world model generated games, if they even become a thing, will be quite a bit worse than conventionally designed ones for a long time (improv can be quite shallow!) but have a lot of potential if they work out.
FromSoft is an interesting example. They make the game more believable by having extremely missable quests, just, most of them don’t block progress through the game, and you usually stumble across enough side quests naturally (although IMO the density was too low in Elden Ring, their system showed a bit of weakness in the less-guided context). The plot is pretty vague, but the vibes tell enough of a story that you don’t really mind. It’s sort of improv/pen-and-paper but the player’s imagination is doing the job of the DM.
If we use world models to train AI systems, are we not essentially forcing something to live so it can gather data for us?
Yes, we haven't gone that far with creating consciousness yet, but there is gonna be a lot of money around neural computing devices for consumers in the coming decades, so that will speed up knowing what sense data you need for consciousness.
There are two things here, firstly, Without AI, you can have heavily designed environments or you can have procedurally generated, people manage to make both work. Both can also fail because of reasons specific to the approach. Careless procedural generation can produce a poor variety or nonsensical outputs. Careless specific placement can violate any rules that a game has established creating an incoherent experience.
Making a world internally consistent by explicit placement gets harder as you increase in scale. When internal consistency is a factor impacting quality, there is a scale at which generated content eventually becomes the higher quality solution.
Secondly, when generating content with AI, the same rules around carelessness apply. There are certainly generative AI tools out there that offer few options when it comes to composing what you want, that is not a necessary part of AI, some of it is because people are wanting rudimentary interfaces, some of it is that the generators are sufficiently new that the control mechanisms are limited because they are focused upon doing something at all before doing it highly controlled, in some ways the problem is that things are new enough that it can be hard to describe what is desirable controllability, making the generator to see what people would like it to be able to do is, I think, a reasonable path to follow prior to creating the control that people want. Part of it is also that there _are_ tools that give a high level of control over what is generated but far fewer people get to see them. There are ways to control styles, object placement, camera motions, scene compositions, etc. The more specialised you get, the smaller the subset of people who need that specific control.
I think AI can make things possible for people who could not have done so without them, but it's still going to take care to make something special.
Video games are not the initial motivation at all.
These world models are key for robotic and coherence in video generation.
Give a world model images of a factory, the robot now can simulate tasks and do the best result.
Give a world model images/context etc. and it can generate a coherent world for video generation.
What this world model system might be able to do for us in regards of gaming or virtual reality: Either simulate 'old' environments like the house of your grandparents (gaussian splatting but interactive) or potential new ones like a house, kitchen, remodeling.
It can also be a very interesting easy to approach VR environment were you can start building your world with voice. That would be very intentional. After all world building is not necessarily connected to being able to generate 3d assets. Just because you need to go this route today, doesn't mean you have to do this tomorrow.
Even though I doubt the main purpose of these models is to produce video games, I have the opposite view from you in that I am excited to see these put to work as components of procedural generation in video games. I don't think that is going to negatively impact story driven games that you seem to enjoy any more than the market for open world and simulation games currently does. They are separate concerns and use distinct techniques.
Where you look for an intentionally evoked experience authored by a game designer, I am looking for an unexplored world unfolding before me filled with emergent and unique phenomena that perhaps no one and not even the game designer has seen before.
> some of my favorite games carry a deep sense of intentionality. For instance, there is typically not a single item misplaced in a FromSoftware game (or, for instance, Lies of P -- more recently). Almost every object is placed intentionally.
That's a pretty specific and one-sided example. There are tons of good games that don't rely on elaborate item placement (e.g. many Bethesda games are great because most items are useless decorations, they broke that rule in recent games, giving the purpose to clutter, and it made them a lot worse). There are tons of good games not relying on this intentionality at all, they're either literally random cool ideas thrown at the wall, or even procedurally generated.
I'm of a strong believer that AI just isn't (may never will be?) a strong judge and executor of "quality". Quality is a loaded term though. Are there any objectively good game designs? Even if there is, maybe only one game of 10 that use the same 'blue print' every reach critical mass (popularity).
>We are able to create less satisfying, less humane experiences faster?
Yes, exactly. Inundate the world with superficially plausible yet hollow content, including any desired themes. People who aren't very discerning won't complain; the others will be outmatched and find that 99/100 pieces are all noise and they will need to spend increasing amounts of time trying to find the 1, if they can.
I think there are some good parallels with Amazon: the broken sorting and manipulated unit pricing, coupled with the avalanche of cheap clones pushes users to give up and just buy one of the top listed products (a featured listing/Amazon-clone). If you do a web search for various products and go to images, Amazon product links often take up 50-90% of the results.
One thing is robotics. Both for training robotics AI, and to let robots test hypothetical actions before comitting to them. I don't think world models are stable enough for either yet
The other is creating multi-modal models with a better understanding of our world. LLMs often fail at incredibly basic spatial reasoning ("someone left a package in front of your apartment, describe going there", or the "should I drive to the car wash or go there", etc). World models excel at these kinds of things (in theory). They develop a great understanding of physical spaces, object interactions, etc. They can simulate fluids, rigid body physics etc. You "just" have to get really good at making world models, then somehow marry them with an LLM in a way that ensures the LLM can benefit from the world model's training data. Nobody has managed to really do that yet
So lots of hopes for the future. Until then they get commercialized as video models, or ways to experience your favorite forest, or to have a really bad video game ... whatever can be sold on a short time horizon to finance the actual goals
> In general, I have the feeling that we are hurtling towards a world with less intentionality behind all the things we experience. Everything becomes impersonal, more noisy, etc.
You’re right - but that world is not the end of the story. The intentionality matters. Human creations matter because they connect us. I don’t know how long it will take, but people will build judgement as to what makes for good use of these tools to make meaningful things and expand our creative horizons in deeply human ways. Mind you, there will always be shallow slop. It’ll just take time for creators to learn how to use these tools to make something that isn’t slop.
I think your comment can be split into two questions:
1. Games derive some appeal from their intentionality and hand-crafted nature. Will these less-intentional experiences be as appealing?
2. Can these less-intentional tools still be used to create intentional designs?
On that first point I think it's important to remember that the lineage of video games comes from board & card games and sports. There's always been an ability to inject more complexity and less-intentionality into those things. Sports in some ways are like a simplified and altered role-play of war battles, and more realistic war roleplaying does exist but it has less appeal.
As humans we like solving things and noticing patterns and the intentionality of games taps into that appeal.
On the latter point I do think these world models will eventually be used to meaningfully contribute to building games. I think people will have to find new ways to design that balances intentionality against the freeform nature of these simulations, but it may take a while to have the capability to do so.
> Games which lack this intentionality often feel dead in contrast
Like for instance... Dwarf Fortress? Minecraft?
Generative AI is just another method to go procedural generation. Not necessarily a better way. Or you could even argue that procedural generation is a form of generative AI... But either way, there are games where the lack of intentionality is central to the appeal.
I suspect these models will be like old Gutenberg's printing press. A rapid rise in the amount of content; most of it not that great. However the sheer volume will result in even more high quality content actually being created in aggregate.
Put another way, the average game quality will go down, but the actual rate of "Great" games will go up.
That is interesting. And it's an AI critique I haven't heard before.
Would you consider it possible that the way non-intentionally placed items break the game immersion for you is because they appear in such a way that you think you can interact with them in a certain way, but you can't?
Like if there's an extra door in the house you're trying to get into, but that door doesn't really open, then in your mind that breaks the integrity of the game's systems. If so, I think the LLM response is that there are no more doors that don't open and that the world can be generated as needed.
No computer can handle the complexity of even a small town. But it would be possible, at least in the future, to generate the part of the world you interact with, which would heighten the emersion.
i've played multiple AAA(+) games before AI 'was a thing' that have had textures/elements, like bulletin boards or posters, where even on cursory glances (not zooming in or ADS) you can easily see literally "Lorem Ipsum" instead of lore or story which would have helped build atmosphere
Consider instead the possibility this may be used as a rendering layer for data backing it. Instead of shipping three-dimensional models and GBs of textures, you can ship a couple photos or a blueprint file or <any other modalities/whatever> and a detailed text description for significantly less storage. Now imagine the world model can adapt the styling of this world on the fly, where every person‘s experience could be unique in terms of visuals, but consistent in terms of the gameplay.
It’s been my belief for several years that this is how the future of games will be constructed. Data in the background, game engine for rules application/ physics execution/orchestration/maybe low-poly rendering, an AI world model taking low resolution input in generating customized visuals/effects/textures/everything, even camera location, but still constrained by concrete rules in the game engine.
I’m certain one day it might all be handled by AI, but the above seems much more realistic and achievable that expecting AI to do all of these things, at one, correctly, every frame.
You touched upon the substance of what we're witnessing et large with AI. Stuff feels hollow and worthless even though it looks amazing. Graphics, images, video, music, text, code..
So, what's the deal?
As with ANY work in life, the quality of the result is a direct reflection of care and intention behind it. Simplified, it's a reflection of how much _you_ put effort in it. It always shows. Even in AI day and age. It's just that path to a result (without effort) is now way shorter so volume is showing up and diluting the overall impression. The latter kind of cheapens every field it touches, so even more effort will have to be put in to show up on the radar.
Re what are we building towards - I think ultimately AI and these tools will be very useful to professionals who already know how to excel at their art.
They can be very powerful tools but creating meaningful art/subjective work that is actually good is actually a borderline impossible task for LLMs since it requires genuine creativity.
Similarly, I am seeing coding agents be infinitely more useful to people who already code than non-technical people thinking they can vibe code their own Salesforce.
Its just that AI doesn't work well as a "productivity booster" tool in the marketing context. So they are pushing towards the idea that anyone can do anything with AI which is imo a really stupid hill to die on or base your ipo on.
To turn this into an actual usable game the network would need to generate an image conditionally from (low asset quality) maps made by the game devs, so map design, object placement is human, graphics is AI.
All video models are terrible at consistency. Even closed source ones.
Seedance 2.0, Kling 3 are regarded the best closed source video models we have. I have subscribed to a few AI video subreddits, consensus atm is they are good for anything but long form videos with humans.
No surprises that we're very good at spotting even the most subtle differences while looking at other people.
i see this and think about Suno's playbook where this could go... survival of the fittest rules the boards where you have user-generated-dynamic video games, not just static ones where design is fixed, the design will be adaptive... based off several prompt input boxes for various things and adhoc while playing, higher tier design boards and the like, this is all going toward user-gen commercial / vanity / personal enjoyment.
Nice, now instead of just reading slop you'll soon be able to experience slop Worlds, in 3D! /s
It's honestly impressive, on the surface. The visuals are gorgeous... but it's still empty. What makes a "World" a world is precisely it's coherency. It's not about how it looks but rather how it "works". The plants in an ecosystems are a certain way because of the available resources, all the way to forces like gravity. It doesn't just "look" like that. To echo Konrad Lorenz a fish doesn't just swim in the water, rather the fish IS an efficient representation of the water it lives within. Here in such "worlds" there is nothing happening. There is minimal superficial coherence, no logic, nothing.
i survived flash, jquery, svn, soap, xml, microservices and crypto
now some norwegian teenager is generating netflix-quality worlds during lunch break from a jpeg of a forest
silly question: what's "world" about what's being generated here? is the an actual abstract representation of physical space (like, eg, a game-engine style scene graph?) or does it just mean "this video generator is more coherent physically than other video generators"
Running this on GPU is quite impressive. I see some people expressing discontent and worries but we are early and this is the worst its going to be, I am very excited to see the impact this will have on games
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[ 2.4 ms ] story [ 71.6 ms ] threadAlso, will this run on RTX 4090 with 24GB memory?
Thank you!
There’s no doubt they’re technically impressive, but what does one do with it?
It is inevitable that learned simulators will replace hand-coded simulators, as it is a straightforward application of the Bitter Lesson: http://www.incompleteideas.net/IncIdeas/BitterLesson.html
By enabling general purpose robotics, world models will be one of the most useful inventions of all time. For examples of what I'm talking about in current research, check:
Dreamer 4: https://danijar.com/project/dreamer4/
DreamDojo: https://arxiv.org/abs/2602.06949
Tesla's world model: https://www.youtube.com/watch?v=LFh9GAzHg1c
Waymo's world model: https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-f...
However, there are a few promising markets, assuming WMs continue to get better and cheaper:
1. Robotics training / evaluation: modern end-to-end (sensors-to-control) robot policies require simulators that are almost indistinguishable from reality. If your sim is distinguishable from reality, the evaluation metrics you get from sim don't mean anything and the policies you train in sim don't work. World models will likely be the highest-fidelity robotics simulators, since WMs are data-driven and get arbitrarily more-realistic given more data/compute. This is why so many robotics companies have WM projects [1] [2] [3] [4].
2. Video frontends for agents: in the same way that today's frontier labs are building realtime voice interfaces [5] which behave like a phone call, realtime video interfaces will behave like a video call. Early forms of this don't feel compelling IMO [6] [7], but once the models can instantly blend between rendering the agent itself, drawing diagrams/visualizations, rendering video, etc. I can see it surpassing pure voice mode.
3. Entertainment: zero-shot world generation (i.e. holodeck, genie 3; paste in an image/video/text prompt and get a world) will be a fun toy but I'm not convinced it has any long-term value. I'm more optimistic about proper narrative experiences where each scene/level is a small, carefully-crafted world (behaving like a normal film scene if you don't touch the controls, and an uncharted/TLoU-style narrative game if you do), such that the sequence of scenes builds up a larger story.
[1] https://wayve.ai/thinking/gaia-3/
[2] https://xcancel.com/Tesla/status/1982255564974641628 / https://xcancel.com/ProfKuang/status/1996642397204394179
[3] https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-f...
[4] https://www.1x.tech/discover/world-model-self-learning
[5] https://thinkingmachines.ai/blog/interaction-models/
[6] https://runwayml.com/news/introducing-runway-characters
[7] https://blog.character.ai/character-ais-real-time-video-brea...
I'm not a game developer myself, but some of my favorite games carry a deep sense of intentionality. For instance, there is typically not a single item misplaced in a FromSoftware game (or, for instance, Lies of P -- more recently). Almost every object is placed intentionally.
Games which lack this intentionality often feel dead in contrast. You run into experiences which break immersion, or pull you out of the experience that the developer is trying to convey to you.
It's difficult for me to imagine world models getting to a place where this sort of intentionality is captured. The best frontier LLMs fail to do this in writing (all the time), and even in code, and the surface of experiences for those mediums often feel "smaller" than the user interaction profile of a video game.
It's not clear how these world models could be used modularly by humans hoping to develop intentional experiences? I don't know much about their usage (LLMs are somewhat modular: they can produce text, humans can work on it, other LLMs can work on it). Is the same true for the video output here?
All this to say, I'm impressed with these world models, but similar to LLMs with writing, it's not really clear what it is that we are building towards? We are able to create less satisfying, less humane experiences faster? Perhaps the most immediate benefit is the ability for robotic systems to simulate actions (by conjuring a world, and imagining the implications).
In general, I have the feeling that we are hurtling towards a world with less intentionality behind all the things we experience. Everything becomes impersonal, more noisy, etc.
One aspect of intentionality is that there’ll be a narrative payoff when you find something you find interesting. In videogames, the world is mostly pre-designed, so the designer has to predict what you’ll be interested in for the most part (In pen and paper RPGs, this is usually done better, because the human dungeon master/DM can plan ahead, but also improvise a payoff or modify the plot between sessions). If there was a world model generated game world, I guess the model would have to be “smart” though to setup and execute those payoffs.
An advantage that the world model would have (and shares with a good human DM) is that everything is an interactable, and the players get to pick what they think is interesting. If everything is improv with a loose skeleton around it, you don’t have to predict as far out. I think world model generated games, if they even become a thing, will be quite a bit worse than conventionally designed ones for a long time (improv can be quite shallow!) but have a lot of potential if they work out.
FromSoft is an interesting example. They make the game more believable by having extremely missable quests, just, most of them don’t block progress through the game, and you usually stumble across enough side quests naturally (although IMO the density was too low in Elden Ring, their system showed a bit of weakness in the less-guided context). The plot is pretty vague, but the vibes tell enough of a story that you don’t really mind. It’s sort of improv/pen-and-paper but the player’s imagination is doing the job of the DM.
Yes, we haven't gone that far with creating consciousness yet, but there is gonna be a lot of money around neural computing devices for consumers in the coming decades, so that will speed up knowing what sense data you need for consciousness.
Making a world internally consistent by explicit placement gets harder as you increase in scale. When internal consistency is a factor impacting quality, there is a scale at which generated content eventually becomes the higher quality solution.
Secondly, when generating content with AI, the same rules around carelessness apply. There are certainly generative AI tools out there that offer few options when it comes to composing what you want, that is not a necessary part of AI, some of it is because people are wanting rudimentary interfaces, some of it is that the generators are sufficiently new that the control mechanisms are limited because they are focused upon doing something at all before doing it highly controlled, in some ways the problem is that things are new enough that it can be hard to describe what is desirable controllability, making the generator to see what people would like it to be able to do is, I think, a reasonable path to follow prior to creating the control that people want. Part of it is also that there _are_ tools that give a high level of control over what is generated but far fewer people get to see them. There are ways to control styles, object placement, camera motions, scene compositions, etc. The more specialised you get, the smaller the subset of people who need that specific control.
I think AI can make things possible for people who could not have done so without them, but it's still going to take care to make something special.
These world models are key for robotic and coherence in video generation.
Give a world model images of a factory, the robot now can simulate tasks and do the best result.
Give a world model images/context etc. and it can generate a coherent world for video generation.
What this world model system might be able to do for us in regards of gaming or virtual reality: Either simulate 'old' environments like the house of your grandparents (gaussian splatting but interactive) or potential new ones like a house, kitchen, remodeling.
It can also be a very interesting easy to approach VR environment were you can start building your world with voice. That would be very intentional. After all world building is not necessarily connected to being able to generate 3d assets. Just because you need to go this route today, doesn't mean you have to do this tomorrow.
Where you look for an intentionally evoked experience authored by a game designer, I am looking for an unexplored world unfolding before me filled with emergent and unique phenomena that perhaps no one and not even the game designer has seen before.
That's a pretty specific and one-sided example. There are tons of good games that don't rely on elaborate item placement (e.g. many Bethesda games are great because most items are useless decorations, they broke that rule in recent games, giving the purpose to clutter, and it made them a lot worse). There are tons of good games not relying on this intentionality at all, they're either literally random cool ideas thrown at the wall, or even procedurally generated.
Yes, exactly. Inundate the world with superficially plausible yet hollow content, including any desired themes. People who aren't very discerning won't complain; the others will be outmatched and find that 99/100 pieces are all noise and they will need to spend increasing amounts of time trying to find the 1, if they can.
I think there are some good parallels with Amazon: the broken sorting and manipulated unit pricing, coupled with the avalanche of cheap clones pushes users to give up and just buy one of the top listed products (a featured listing/Amazon-clone). If you do a web search for various products and go to images, Amazon product links often take up 50-90% of the results.
The other is creating multi-modal models with a better understanding of our world. LLMs often fail at incredibly basic spatial reasoning ("someone left a package in front of your apartment, describe going there", or the "should I drive to the car wash or go there", etc). World models excel at these kinds of things (in theory). They develop a great understanding of physical spaces, object interactions, etc. They can simulate fluids, rigid body physics etc. You "just" have to get really good at making world models, then somehow marry them with an LLM in a way that ensures the LLM can benefit from the world model's training data. Nobody has managed to really do that yet
So lots of hopes for the future. Until then they get commercialized as video models, or ways to experience your favorite forest, or to have a really bad video game ... whatever can be sold on a short time horizon to finance the actual goals
You’re right - but that world is not the end of the story. The intentionality matters. Human creations matter because they connect us. I don’t know how long it will take, but people will build judgement as to what makes for good use of these tools to make meaningful things and expand our creative horizons in deeply human ways. Mind you, there will always be shallow slop. It’ll just take time for creators to learn how to use these tools to make something that isn’t slop.
On that first point I think it's important to remember that the lineage of video games comes from board & card games and sports. There's always been an ability to inject more complexity and less-intentionality into those things. Sports in some ways are like a simplified and altered role-play of war battles, and more realistic war roleplaying does exist but it has less appeal.
As humans we like solving things and noticing patterns and the intentionality of games taps into that appeal.
On the latter point I do think these world models will eventually be used to meaningfully contribute to building games. I think people will have to find new ways to design that balances intentionality against the freeform nature of these simulations, but it may take a while to have the capability to do so.
Like for instance... Dwarf Fortress? Minecraft?
Generative AI is just another method to go procedural generation. Not necessarily a better way. Or you could even argue that procedural generation is a form of generative AI... But either way, there are games where the lack of intentionality is central to the appeal.
Put another way, the average game quality will go down, but the actual rate of "Great" games will go up.
Would you consider it possible that the way non-intentionally placed items break the game immersion for you is because they appear in such a way that you think you can interact with them in a certain way, but you can't?
Like if there's an extra door in the house you're trying to get into, but that door doesn't really open, then in your mind that breaks the integrity of the game's systems. If so, I think the LLM response is that there are no more doors that don't open and that the world can be generated as needed.
No computer can handle the complexity of even a small town. But it would be possible, at least in the future, to generate the part of the world you interact with, which would heighten the emersion.
LLMs had nothing to do with this
It’s been my belief for several years that this is how the future of games will be constructed. Data in the background, game engine for rules application/ physics execution/orchestration/maybe low-poly rendering, an AI world model taking low resolution input in generating customized visuals/effects/textures/everything, even camera location, but still constrained by concrete rules in the game engine.
I’m certain one day it might all be handled by AI, but the above seems much more realistic and achievable that expecting AI to do all of these things, at one, correctly, every frame.
So, what's the deal?
As with ANY work in life, the quality of the result is a direct reflection of care and intention behind it. Simplified, it's a reflection of how much _you_ put effort in it. It always shows. Even in AI day and age. It's just that path to a result (without effort) is now way shorter so volume is showing up and diluting the overall impression. The latter kind of cheapens every field it touches, so even more effort will have to be put in to show up on the radar.
They can be very powerful tools but creating meaningful art/subjective work that is actually good is actually a borderline impossible task for LLMs since it requires genuine creativity.
Similarly, I am seeing coding agents be infinitely more useful to people who already code than non-technical people thinking they can vibe code their own Salesforce.
Its just that AI doesn't work well as a "productivity booster" tool in the marketing context. So they are pushing towards the idea that anyone can do anything with AI which is imo a really stupid hill to die on or base your ipo on.
Huge percentage of AI spend is on this with the gamble people won’t care if it’s less humane they’ll consume it anyway.
> A dedicated 17B long-video refiner sharpens texture, motion, and late-window quality on top of the long-rollout backbone.
Seedance 2.0, Kling 3 are regarded the best closed source video models we have. I have subscribed to a few AI video subreddits, consensus atm is they are good for anything but long form videos with humans.
No surprises that we're very good at spotting even the most subtle differences while looking at other people.
I've been doing some content with people at https://industrialallusions.com
Everyone is right to be skeptical of this coming from a 2.8B model. Weights or it didn't happen.
It's honestly impressive, on the surface. The visuals are gorgeous... but it's still empty. What makes a "World" a world is precisely it's coherency. It's not about how it looks but rather how it "works". The plants in an ecosystems are a certain way because of the available resources, all the way to forces like gravity. It doesn't just "look" like that. To echo Konrad Lorenz a fish doesn't just swim in the water, rather the fish IS an efficient representation of the water it lives within. Here in such "worlds" there is nothing happening. There is minimal superficial coherence, no logic, nothing.
The ultimate liminal spaces.
EDIT> dont ask how I came up with this quote
I can't say I'm looking forward to an AI video future.