Virtual games generated by AI are coming to stay?

 

Microsoft and Google recently launched new models of Generative AI that simulate video game worlds

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Microsoft has launched an AI tool called Musewhich promises to revolutionize the development of games.

Muse is a “human and world action model” trained with “Bleeding Edge” gameplay data, allowing designers to try and adjust AI -generated gameplay videos, without the need for long hours of implementation in a gaming mechanism.

Tool creates and preserves games using IA

  • The tool has the potential to accelerate game development, creating elements simulations such as power-ups, which can be tested before they are implemented in the actual game. However, doubts arise about its long -term viability.
  • Microsoft mentioned that the muse can be used to preserve classic games and even create a “catalog” of AI -generated games, but currently the muse only creates simulated, not full games.
  • Although the model is effective for continuous service games with large data volumes, such as “Bleeding Edge”, he faces challenges to be useful in smaller games or titles for a player.
New tool that uses would promise to accelerate the process of creating virtual games – Image: Rangizzz/Shutterstock

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AI works well only when trained with large amounts of specific data, and the implementation for various games would be a monumental task.

Experts point out that, despite its potential, the muse is not yet able to create playable games or complete simulations of classic titles.

The concept of AI -generated games may be on the horizon, but for now, the muse seems to be a useful tool for quick viewing of game development concepts without replacing traditional gaming creation and design functions.

Model released by Microsoft still faces challenges to create complete games – Image: Blackboard/Shutterstock

 

 

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