The generative AI craze has come for video games. While companies like Square Enix and Ubisoft have been casually experimenting with the tech for years, Microsoft jumped into the race this week. The company revealed its new AI model, nicknamed Muse, which it describes as “the first World and Human Action Model.” The short of it is that Microsoft collaborated with Ninja Theory to research a new generative game development model that was trained on Bleeding Edge. The end result is a model that can generate “gameplay sequences,” as shown in a series of low-res videos. Microsoft has big plans for the tool, saying that it can be used to assist developers, preserve lost games, or even create content for existing games and insert it on the fly.
As is always the case with AI, there’s a gulf between the potentially useful things Muse can do versus the aspirational talk from executives trying to hype up a big investment. The latter is great sales pitch for investors hungry to see the countless dollars that’s been poured into the tech pay off, but I’m left with one question as a player: Who on Earth beyond that small group actually wants any of this?
Recommended VideosThat question has long been the sticking point for plenty of recent tech trends, from NFTs to the ill-fated Humane AI Pin, but it’s especially pressing when it comes to video games. The growing desire to bring more generative AI into the development process comes from a total misunderstanding of what makes gaming so special. Companies like Microsoft seem to be betting big on the idea that players don’t actually care too much about the human touches that go into crafting a game. It’s a gamble that’s bound to leave overeager adopters leaving the table with empty pockets.
RelatedAny criticism of AI’s theoretical role in game
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