Microsoft has introduced Muse AI, a new AI that creates video game visuals and predicts player actions. It was trained using data from Bleeding Edge, a 2020 arena shooter by Ninja Theory. To develop Muse, Microsoft used over a billion images and controller inputs, equal to seven years of nonstop gameplay.
Gaming Industry’s Response to Muse
Microsoft sees big potential in this technology. CEO Satya Nadella plans to add Muse to Copilot, the Windows 11 chatbot. Phil Spencer, head of Microsoft Gaming, believes Muse AI could help bring old games to modern platforms without needing their original hardware or engines.
Dom Matthews, Ninja Theory’s studio head, addressed concerns about AI replacing human developers. “This technology enhances our team’s capabilities, allowing 100 creative experts to work more efficiently and bring their ideas to life faster,” Matthews explained. The focus remains on supporting human creativity rather than replacing it.
Right now, Muse can only create simple versions of Bleeding Edge gameplay. AI researcher and game designer Mike Cook told New Scientist that Muse has its limits because it was trained on just one game. “Traditional game testing tools already provide consistency by running actual game code. Muse attempts to solve problems that generative AI created,” Cook noted.
This news comes after Microsoft recently cut jobs, making people wonder about the company’s future plans. Microsoft says Muse is meant to help developers, not replace them, but its current results still need improvement.
I wrote this article after speaking with industry experts and researching Microsoft’s latest technology. Muse is sparking discussions in the gaming world, especially about how it might affect game development and the way old games are preserved.
Read this also: This E Ink Gaming Console Lets You Play Interactive Game Books
