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Google SIMA (Scalable Instructable Multiworld Agent) is a generative AI agent developed by Google DeepMind.
Google SIMA is trained on virtual 3D environments to accomplish basic gaming tasks by following user-given natural language instructions.
Further sections explain how SIMA works and its use cases, as given below.
How Does SIMA Work?
SIMA AI works by taking two simple inputs: (game) image processing and player-provided real-time language commands.
The current version of SIMA is evaluated across 600 basic skills, spanning navigation (e.g.
Weve trained SIMA to perform simple tasks that can be completed within about 10 seconds.
At its core, SIMA has two models: one for image-language mapping and the other for video prediction.
The video model helps SIMA predict future events so that it can plan its gaming actions upfront.
Having SIMA by your side will be almost similar to having a human play on your behalf.
However, this AI gaming tool isnt about achieving high game scores as of now.
How was SIMA Trained?
SIMAs training was focused on first or third-person gameplay while avoiding games featuring extreme violence.
A vital piece of SIMAs training is behavioral cloning, where AI agents learn by observing expert gamer-generated data.
This dataset included gameplay videos, instructions, annotations, and more.
However, SIMAs integration would require little technical skills when released.
This gaming AI takes only two inputs: visuals and language instructions, without any root-level access.
Its almost similar to how humans interact with games, confirming SIMAs widespread possibilities among gamers.
Interestingly, this approach of using AI agents to understand visual cues and language inputs isnt limited to gaming.
Can SIMA Play Games with You?
Yes, theoretically, SIMA should play games with you when commercially available.
However, further training is needed for these gaming AI agents to complete complex interactions.
Compared to humans, SIMA performed reasonably well.
The training also confirms that SIMA can perform well as a generalized AI agent.
That means developers need not train SIMA on every other game.
In such cases, it can be a subscription-based service that users can simply integrate with games.
