Neural network learns to make maps with Minecraft — code available on GitHub

Neural network doing spatial mapping of a Minecraft environment, and being able to predict subsequent "steps" (images) with a mean-squared error rate of 0.094%.

A fundamental limitation of modern artificial intelligence and neural networks is that they aren't good at spatial mapping or navigation without an existing map. However, TechXplore reports that a combination of a predictive coding algorithm and Minecraft gameplay successfully "taught" a neural network how to create spatial maps and subsequently use those spatial maps to predict the following frames of video, yielding a mean-squared error of 0.094% between the predicted image and the final image.

The project demonstrates genuine spatial awareness of AI, which still isn't seen in the impossible architecture and other strange glitches that come with things like OpenAI's Sora.