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    Playing a Neural Network's version of GTA V: GAN Theft Auto

    sentdex

    3 HN recommenders · recommended in 10 months, 2021–2025

    YouTube

    17:08 · 766K views · Jun 18, 2021

    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.

    Cited as an early, striking demo of neural networks acting as game engines and world models.

    AI, Machine Learning & DataLLMs & generative AIMachine learning & deep learningGame programming & engines
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    12 comments from Hacker News

    1. @ALittleLightApr 2022· in “DALL-E, the Metaverse, and Zero Marginal Content”

      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. this video

      RecommendsView on HN
    2. @ALittleLightAug 2021· in “Where are the robotic bricklayers?”

      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. this video

      RecommendsView on HN
    3. @eruDec 2022· in “Netflix: 30% bitrate saving using Film Grain Synthesis”

      > 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: this video

      RecommendsView on HN
    4. @7734128Aug 2024· in “Diffusion models are real-time game engines”

      What you're describing reminded me of this cool project: this video "Playing a Neural Network's version of GTA V: GAN Theft Auto"

      RecommendsView on HN
    5. @eruNov 2022· in “Chip design shifts as fundamental laws run out of steam”

      > 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 this 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.

      CitesView on HN