While being interviewed for a magazine, Erin Hoffman-John, Stadia’s head of creative for R&D claimed that their Project Chimera, a Google machine learning solution, will help small independent teams to develop massive open-world titles without compromising on scope and detail.
Hoffman-John said this to MCVUK magazine: “What if a team of 14 people could make a game the scale of World of Warcraft?…they rely on a lot of heavy, repetitive content creation…like 70 percent content and 30 percent or less code.”
This Project Chimera is a GAN or Generative Adversarial Network, functionally similar to ESRGAN. It is a neural network modders used to upscale textures in older games.
Project Chimera’s machine learning trains itself on game rules, assets, and gameplay. Also developers will be able to use the GAN to generate world spaces, NPCs, and quests to make games using this project.
Hoffman-John also stated that Project Chimera can even be used for playtesting. This means it can potentially give small development teams valueable feedback on bugs and balancing issues as hundreds of human beta testers do.
Project Chimera and machine learning will play a much greater role in future videogame development and reduce the costs as well as manual labour. Obviously, this age of AI is driving very fast and even things are getting easier on the development side as well.
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