
Playing a Neural Network's version of GTA V: GAN Theft Auto
About this video
Sentdex demonstrates GAN Theft Auto, a GameGAN-based neural network that recreates GTA V so the network itself is the playable environment. He shows the results and releases the code.
Why it appears in the archive
Cited as an early, striking demo of neural networks acting as game engines and world models.
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From the Hacker News discussion
This video really amazed me in terms of automated game development. My fantasies are something like this and GPT-3 plus a couple decades of progress. I think we'll get to genuinely open ended sand box games. [VIDEO]
Read original comment ↗This YouTube video, to me, shows the promise of things to come. AI generated game worlds. Language models to generate plots and dialog, transformers and GANs to create illustrations. Imagine a game, a truly open world sand box, Grand Theft Auto meets AI Dungeon - every NPC is a "real" person with unlimited dialog options, the buildings you drive by you could easily walk in and investigate, unlimited play space - you could type in more general instructions and ideas to the plot generator ("add in a vampire romance and murder mystery angle") on the fly. [VIDEO]
Read original comment ↗> You could directly encode the elements as understanded by the process used to generate them, rather than attempting to reconstitute things from a stream of bitmaps. You might like Gan Theft Auto: [VIDEO]
Read original comment ↗What you're describing reminded me of this cool project: [VIDEO] "Playing a Neural Network's version of GTA V: GAN Theft Auto"
Read original comment ↗Have you seen the video? The author even goes as far as suggesting the technique might useful for (generating?) entire operating systems at [VIDEO] . That's just wild.
Read original comment ↗GAN Theft Auto also had a similar dream-like quality, especially with anything involving collisions (cars and how "big" the road was). [VIDEO]
Read original comment ↗> I'm not going to be so stupid as to say 8 cores should be enough for anyone (while attached to a machine with 128) but you have to wonder if the stable diffusion style apps running on your desktop are going to be mainstream, or isolated to the few who choose to _need_ them as a hobby or a smaller part of the public that uses them for commercial success. AKA, I can utilize just about every core i'm given with parallel compiles, or rendering a 4K video, but I'm pretty sure i'm the only one in my immediate family that needs that. My wife in the past might have done some simulation work, but these days the heaviest thing she runs on her PC is office products. See GAN Theft Auto at [VIDEO] Someone trained a neural network to convert controller input into video output that simulates the game Grand Theft Auto. If technology keeps improving, I expect many future games will be such 'dreams' of neural networks. You are right that running Word or Excel won't really benefit from more cores.
Read original comment ↗I guess unless your codec handles water physics. Which is not quite as absurd as it sounds. Have a look at the reflections in [VIDEO]
Read original comment ↗