Large language models trained for code generation can be applied to speaking virtual worlds into existence (creating virtual worlds). In this work we show that prompt-based methods can both accelerate in-VR level editing, as well as can become part of gameplay rather than just part of game development. As an example, we present Codex VR Pong which shows non-deterministic game mechanics using generative processes to not only create static content but also non-trivial interactions between 3D objects. This demonstration naturally leads to an integral discussion on how one would evaluate and benchmark experiences created by generative models - as there are no qualitative or quantitative metrics that apply in these scenarios. We conclude by discussing impending challenges of AI-assisted co-creation in VR.
@article{arxiv.2211.05875,
title = {Steps towards prompt-based creation of virtual worlds},
author = {Jasmine Roberts and Andrzej Banburski-Fahey and Jaron Lanier},
journal= {arXiv preprint arXiv:2211.05875},
year = {2022}
}