Submitted 2 months ago by gedaliyah@lemmy.world to technology@lemmy.world
The model, called GameNGen, was made by Dani Valevski at Google Research and his colleagues, who declined to speak to New Scientist. According to their paper on the research, the AI can be played for up to 20 seconds while retaining all the features of the original, such as scores, ammunition levels and map layouts. Players can attack enemies, open doors and interact with the environment as usual.
After this period, the model begins to run out of memory and the illusion falls apart.
An AI-generated recreation of the classic computer game Doom can be played normally despite having no computer code or graphics.
After this period, the model begins to run out of memory and the illusion falls apart.
Why are we lying about this? Just because it happens in the AI “black box” doesn’t mean it’s not producing some kind of code in the background to make this work. The AI itself is made of code! No computer code or graphics, my ass.
The model, called GameNGen, was made by Dani Valevski at Google Research and his colleagues, who declined to speak to New Scientist.
Always a good look. /s
I mean, yes, technically you build and run AI models using code. The point is there is no code defining the game logic or graphical rendering. It’s all statistical predictions of what should happen next in a game of doom by a neural network. The entirety of the game itself is learned weights within the model. Nobody coded any part of the actual game. No code was generated to run the game. It’s entirely represented within the model.
What they’ve done is flattened and encoded every aspect of the doom game into the model which lets you play a very limited amount just by traversing the latent space.
In a tiny and linear game like Doom that’s feasible… And a horrendous use of resources.
Imagine you are shown what Doom looks like, are told what the player does, and then you draw the frames of what you think it should look like. While your brain is a computation device, you aren’t explicitly running a program. You are guessing what the drawings should look like based on previous games of Doom that you have watched.
Maybe they should have specified , the Doom Source Code
“No code” programming has been a thing for a while, long before the LLM boom. Of course all the “no code” platforms generate some kind of code based on rules provided by the user, not fundamentally different from an interpreter. This is consistent with that established terminology.
No code programming meant using a GUI to draw flowcharts that then creates running code. This is completely different.
This would be like playing DnD where you see a painting and describe what you would do next as if you were the painting and they an artists painted the next scene for you.
The artists isn’t rolling dice, following the rule book, or any actual game elements they ate just painting based on the last painting and your description of the next.
Its incredibly nove approchl if not obviously a toy problem.
Note that the image here isn’t from the AI project, it’s from actual Doom. Their own screenshots have weird glitches including a hit splat that looks like a butt in the image I’ve seen closest to this one.
And when they say they’ve “run the game” they do not mean that there was a playable version that was publicly compared to the original. Rather they released short video clips of alleged gameplay and had their evaluators try to identify if they were from the AI recreation or from actual Doom.
Even by the abysmal standards of generative AI projects this is a hell of a grift.
Even by the abysmal standards of generative AI projects this is a hell of a grift.
But if you invest now, you can make a game-generating AI a reality! /s
I’m pretty sure that screenshot is from the video. The zombieman has no feet
Possibly fair. I’m pretty sure I’ve seen that exact screenshot used in other articles about Doom, but I’m not enough of a Doom nerd to be sure.
There’s a decent writeup over at Pivot-to-AI that looks at the paper as a whole in more detail.
Thinking quickly, Generative AI constructs a playable version of Doom, using only some string, a squirrel, and a playable version of Doom.
It’s cool but it’s more or less just a party trick.
Is it though? We can show an AI thousands of hours of something and it can simulate it almost perfectly. All the game mechanics work! It even makes you collect keys and stock up on ammo. For a stable diffusion model that’s pretty profound emergent behavior.
I feel like you’re kidding yourself if you don’t think this has real world applications. This is the kind breakthrough we need for self-driving: the ability to simulate what would happen in real life given a precise current state and a set of fictional inputs.
Doom is a low-graphics game, so it’s definitely easier to simulate, but this method could make the next generation of niche “VidGen” models extremely accurate.
I’m not convinced. The ammo seems to go up and down on a whim, as does the health
Can’t wait for your self-driving car to go out of memory mid ride.
Honestly I thinkyour self driving example is something this could be really cool for. If the generation can exceed real time (I.e. 20 secs of future image prediction can happen in under 20 secs) then you can preemptively react with the self driving model and cache the results.
If the compute costs can be managed maybe even run multiple models against each other to develop an array likely branch predictions (you know what I turned left)
Its even cooler that player input helps predict the next image.
It’s a proof of concept demonstration not a final product.
So many practical applications for being able to do this beyond just video games in fact video games are probably the least useful application for this technology.
So many practical applications
Such as?
Regardless of the technology, isn’t this essentially creating a facsimile of a game that already exists? So the tech isn’t really about creating a new game, it’s about replicating something that already exists in a fairly inefficient manner. That doesn’t really help you to create something new, like I’m not going to be able to come up with an idea for a new game, throw it at this AI, and get something playable out of it.
That and the fact it “can be played for up to 20 seconds” before “the model begins to run out of memory” seems like, I don’t know, a fairly major roadblock?
It’s just a research paper, not a product. It’s about discovering and learning new possible methods and applications.
That’s a fair point actually, I’m looking at it through a product lens, not a research one.
Yes, this does nothing for game dev. But I don’t think it was supposed to.
The fact that this is a genAI Model generating a reasonable, context aware image a whopping 20 times a second is nonetheless pretty impressive.
So you think a project should be killed immediately at Inception because it’s not immediately perfect? That is a really really weird attitude.
I’m more taking issue with this quote from the article:
“Researchers behind the project say similar AI models could be used to create games from scratch in the future, just as they create text and images today.”
This doesn’t strike me as something that can create a game from scratch, it’s something that can take an existing game and replicate it without having access to the underlying source code, and use an immense amount of processing power to do it.
Since it seems they’re using generative AI based technology underneath it, they’re effectively building a Doom model. You might be able to spin a Doom clone off from that but I don’t see it as something you could practically throw another game type at.
That being said as I said in a different reply, I was viewing it through the lens of something more product based rather than that of a research project. As a field of research, it’s an interesting topic. But I’m not sure how you connect it to “create games from scratch” if you don’t already have an existing game available to train the model on.
Unless you can monetize those 20 seconds like crazy
This sounds like the basis for a new Warioware game.
Perhaps you could be missing the trajectory of continuous improvement. How long until The Matrix?
It’s an exponential increase as well and humans are very bad at judging exponential increases they look at something like this and they see no promise in it because they can’t see that four or five iterations down the line (and in the world of AI that could very easily be 3 months) it will be hundreds of times better.
“Playable”
That seems to be the case.
Correct me if I’m wrong, but doesn’t there have to be a code layer somewhere in there?
It’s like all those “no code” platforms that just obscure away the actual coding via a gui and blocks/elements/whataver.
In this case, no. This is just interpreting what the next frame should be by the previous one. Like how the sora videos work, but with input.
I mean, yeah, there’s code, but none of it is Doom.
This is just a pile of garbage. Jim Sterling’s break down is the most complete argument. But this is just a plain ol bag of shit.
Link to the video. I agree, it was a really good video on this topic and how wrong it is philosophically.
CheeseNoodle@lemmy.world 2 months ago
I really hope this doesn’t catch on, Games are already horifically inefficient, imagine if we started making them like this and a 4090 becomes the minnimum system requirement for goddamn DOOM.
UnityDevice@startrek.website 2 months ago
That’s so far from the truth, it hurts me to read it. Games are one of the most optimised programs you can run on your computer. Just think about it, it’s a application rendering an entire imaginary world every dozen milliseconds. Compare it to anything else you run, like say slack or teams, which makes your CPU sweat just to notify you about a new message.
30p87@feddit.org 2 months ago
Many games, especially AAA games or ones relying on common game engines, are actually horribly inefficient. It’s hard to run any Unity/Unreal game in 4k on my 1070. Even if it has shit graphics like Lethal Company. What does run well? Smaller, custom engines, even Metro Exodus runs with 60+ FPS in 4k on my 1070, and still looks very good. Why? Because 4A Game is/was actually interested in creating a good engine and games. That’s the whole reason they split from the S.T.A.L.K.E.R team: Because, in their opinion, the engine was too inefficient.
Most games are just a quick cash grab tho, especially ones by large companies like EA. Other large companies with a significantly lower output of games, eg. Valve, do produce programmatically higher quality games tho.
PaellaVacuum@reddeet.com 2 months ago
Right buddy, seems like you’ve never had to play on a 3-gen old laptop. That’s such a privileged view lmao.