New AI Model 'Learns' How To Simulate Super Mario Bros. From Video Footage

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.

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