Posted by BeauHD from the proof-of-concept dept.
An anonymous reader quotes a report from Ars Technica: Last month, Google’s GameNGen AI model showed that generalized image diffusion techniques can be used to generate a passable, playable version of Doom. Now, researchers are using some similar techniques with a model called MarioVGG to see if an AI model can generate plausible video of Super Mario Bros. in response to user inputs. The results of the MarioVGG model — available as a pre-print paper (PDF) published by the crypto-adjacent AI company Virtuals Protocol — still display a lot of apparent glitches, and it’s too slow for anything approaching real-time gameplay at the moment. But the results show how even a limited model can infer some impressive physics and gameplay dynamics just from studying a bit of video and input data. The researchers hope this represents a first step toward “producing and demonstrating a reliable and controllable video game generator,” or possibly even “replacing game development and game engines completely using video generation models” in the future.
A LISP programmer knows the value of everything, but the cost of nothing. — Alan Perlis
Working…
