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Generative AI creates playable version of Doom game with no code

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.

harsh3466 ,

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.

CheeseNoodle ,

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.

SnotFlickerman , (edited )
@SnotFlickerman@lemmy.blahaj.zone avatar

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. They even admit that it “runs out of memory.” Huh, last I checked, you’d need to be running code to use memory. 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

xionzui ,

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.

bamboo ,

“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.

Blue_Morpho ,

No code programming meant using a GUI to draw flowcharts that then creates running code. This is completely different.

cdf12345 ,

Maybe they should have specified , the Doom Source Code

Blue_Morpho ,

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.

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