World Emulation via Neural Network
I turned a forest trail near my apartment into a playable neural world. You can explore that world in your web browser by clicking right here: By “neural world”, I mean that the entire thing is a neural network generating new images based on previous images + controls. There is no level geometry, no code for lighting or shadows, no scripted animation. Just a neural net in a loop. By “in your web browser” I mean this world runs locally, in your web browser. Once the world has loaded, you can continue exploring even in Airplane Mode. So, why bother creating a world this way? There are some interesting conceptual reasons (I’ll get to them later), but my main goal was just to outdo a prior post. See, three years ago, I got a simple two-dimensional video game world to run in-browser by training a neural network to mimic gameplay videos from YouTube. Mimicking a 2D video game world was cute, but ultimately kind of pointless; existing video games already exist and we can already emulate them
World Emulation via Neural Network World Emulation via Neural Network 25 April 2025 I turned a forest trail near my apartment into a playable neural world. You can explore that world in your web browser by clicking right here : By "neural world", I mean that the entire thing is a neural network generating new images based on previous images + controls. There is no level geometry, no code for lighting or shadows, no scripted animation. Just a neural net in a loop. By "in your web browser" I mean this world runs locally, in your web browser. Once the world has loaded, you can continue exploring
saved by
related reading
- Game Emulation via Neural Networkmadebyoll.in
- Artificial intelligence by mimicking natural intelligencesubstack.com
- Bare-bones Diffusion Modelsmadebyoll.in
- A Recipe for Training Neural Networkskarpathy.github.io
- The World Inside Neural Networksgoodfire.ai
- What Is ChatGPT Doing … and Why Does It Work?-Stephen Wolfram Writingswritings.stephenwolfram.com
- World Modelsworldmodels.github.io
- World Models: Computing the Uncomputablenotboring.co
- Neural Networks, Manifolds, and Topology -- colah's blogcolah.github.io
- How to train a frontier-level world modelnext-state.github.io
- A Recipe for Training Neural Networkskarpathy.github.io
- Neural network training makes beautiful fractals | Jascha’s blogsohl-dickstein.github.io