Generative AI in Video Games
Miototo platform is all over the place in video games. There are many examples of generative models that repurpose existing game assets to create new gameplay experiences, while other games use generative AI to create a whole new experience from scratch. Some of these new experiences are based on the natural world, such as a tree-generating forest in Wol or a generative city in The Machines. Others, like the upcoming 1001 Nights Steam release, take advantage of what generative models are good at: generating statistically likely outcomes based on data presented to them.
From Strategy to Action: How AI Enhances Different Game Genres
The most popular use of Gen AI in gaming is to generate life-like character responses & behaviors for NPCs (non-player characters). These can add depth & complexity to a game that make it feel more alive and engaging. Enemies that adapt their battle tactics to player behavior and counter your favorite moves are one example of this.
More than just NPCs, Gen AI can also be used to generate world models that improve visual fidelity. This can reduce pixelation, artifacts, or repetition of environmental textures and graphics in large worlds. It can also provide dynamic effects, such as weather patterns, foliage movement, fire propagation, and other simulations.
Other uses of Gen AI in gaming include the ability to create unique and varied levels for procedural generation, allowing developers to quickly prototype or test their ideas. This can save a lot of time for the designers of games. It can also reduce the size of games, reducing loading times and storage requirements for players. It can also improve gameplay telemetry and performance by analyzing the 3D meshes, audio files, textures, and environment geometry for efficiency and quality.