- AI replicates playable Doom, as Google researchers create an algorithm-driven version of the classic game using neural networks and video clips of gameplay.
- The project, detailed in a paper titled “Diffusion models are real-time game engines,” demonstrates the ability to simulate complex game mechanics at 20fps.
- GameNGen, the neural model developed by the team, can perform tasks like tracking health and ammo, attacking enemies, and maintaining game state over time.
- While the output quality is comparable to the original Doom, human input is still necessary to provide gameplay footage for the AI to learn from.
- This milestone raises questions about the future of game development, with over 60% of developers already incorporating AI into their processes, highlighting both potential benefits and challenges.
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