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Wow, diffusion models (used in AI image generation) are also game engines - a type of world simulation. By predicting the next frame of the classic shooter DOOM, you get a playable game at 20 fps without any underlying real game engine. This video is from the diffusion model.

Ethan Mollick

361,263 subscribers

1,768,653 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 9

Фото профиля Ethan Mollick

Ethan Mollick1 год назад

Paper and details:

Фото профиля Elon Musk

Elon Musk1 год назад

Tesla can do something similar with real world video

Фото профиля Kristoph

Kristoph1 год назад

I honestly don’t find this compelling. They obviously trained on a large corpus of games screenshots and it’s just generating the screen that probilistixally follows the current one. The issue is that this can only be achieved by having an initial game from which a corpus can be derived. If there is no game there is no corpus so where is the value add?

Фото профиля Kristoph

Kristoph1 год назад

How does the game maintain state? When you turn around how does it know what came before?

Фото профиля Gurwinder

Gurwinder1 год назад

Gives a whole new meaning to P(doom)!

Фото профиля George Saoulidis ⚡

George Saoulidis ⚡1 год назад

So you made DOOM run inside an LLM. Just say it

Фото профиля Rammy

Rammy1 год назад

So you’re saying that it shows you images based on where you’re looking? As in it only renders when observed? 👀 *Tinfoil hat intensifies*

Фото профиля Bart Trzynadlowski

Bart Trzynadlowski1 год назад

Amazing but also supremely irritating that the source code isn’t available given that it’s based on an open source model.

Фото профиля Lucidyn

Lucidyn1 год назад

Ok a few questions that i have what's the difference in power consumption between the original dos release the doom 64 bit release and the AI generated version here. Its cool but i am guessing it will come at a massive cost showing a traditional rendering will be more efficient.

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This may look like a game of Counterstrike running slowly, but it actually extraordinary. The entire game is created, frame-by-frame, on my home computer by an AI diffusion model in response to my actions. There is no game engine, just a "world model" trained on Counterstrike

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Google researchers just developed GameNGen, an AI that can simulate DOOM at over 20 fps It works by predicting each frame in real time with a diffusion model At scale this could mean AI will be able to create games on the fly, personalized to each player

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LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models paper page: github: Recent advancements in text-to-image generation with diffusion models have yielded remarkable results synthesizing highly realistic and diverse images. However, these models still encounter difficulties when generating images from prompts that demand spatial or common sense reasoning. We propose to equip diffusion models with enhanced reasoning capabilities by using off-the-shelf pretrained large language models (LLMs) in a novel two-stage generation process. First, we adapt an LLM to be a text-guided layout generator through in-context learning. When provided with an image prompt, an LLM outputs a scene layout in the form of bounding boxes along with corresponding individual descriptions. Second, we steer a diffusion model with a novel controller to generate images conditioned on the layout. Both stages utilize frozen pretrained models without any LLM or diffusion model parameter optimization. We validate the superiority of our design by demonstrating its ability to outperform the base diffusion model in accurately generating images according to prompts that necessitate both language and spatial reasoning. Additionally, our method naturally allows dialog-based scene specification and is able to handle prompts in a language that is not well-supported by the underlying diffusion model.

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