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Artificial intelligence has been a fundamental part of games for decades. It’s neither a new nor revolutionary part of game development. However, generative AI is a new tool in developer’s arsenals. Proponents say GenAI has the capacity to revolutionize game development — but the technology also has fierce critics.
Typically AI is most commonly used in games to generate in-game behaviors in non-player characters (NPCs) or new environments in a procedurally-generated games (e.g., roguelikes). Generative AI, on the other hand, adds several new use cases for the technology from the earliest phases of a game’s development.
Generative AI is rising in popularity, thanks in large part to tools like ChatGPT, Midjourney and others. The games industry is no exception, as generative AI tools have begun to integrate into game development and the creation of user-generated content.
One way developers are already incorporating AI into their development process is to generate art and assets. Generative AI trained with a handful of images can produce a significant number of similar pieces faster than a human could. Additionally, tools such as DALL-E 2 and ChatGPT can be used to by game writers to craft original stories, expand upon core ideas or generate in-game text.
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Recently, Scenario opened up its generative AI platform to developers. It purports to offer individually trainable generators, which developers can use to create art pieces
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