GANRobo Automático: Harrison Kinsley sobre entornos de juegos generados por IA

Humans playing games against machines is nothing new — think of Deep Blue or AlphaGo. Pero ahora, computers can even desarrollar their own games for people to play.

Programming enthusiast and social media influencer Harrison Kinsley spoke with NVIDIA AI Podcast host Noah Kravitz about creating GANRobo Automático, an AI-based neural network that generates a playable chunk of the classic video game Grand Theft Auto V.

Inspirado por NVIDIA GameGAN’s recreation of PAC-MAN, Kinsley and his collaborator Daniel Kukeila decided to test how far they could take the idea of training an AI model to create its own gaming environment.

Key Points From This Episode:

• GANTheftAuto is an AI model that generates features of the Grand Theft Auto gaming environment — from its overall landscape to details like the sunlight reflecting off a car — in real time, as a person plays the game. The model is based on a chunk of training data, not the actual code from the game.
• Kinsley and Kukeila had to overcome challenges such as gathering enough data to train the model, training it in a reasonable amount of time and getting it to simulate real-life physics.
• Aside from his own work, Kinsley helps people all over the world with their AI-based projects by posting programming tutorials and explainer videos to his YouTube channel, which is hosted under the name “sentdex” and has over a million subscribers.

Tweetables:

“It’s one of those things that gives you goosebumps when you see it … there’s something really cool about an AI-generated environment.” — Harrison Kinsley [5:46]

“I think AI-based software is the future.” — Harrison Kinsley [26:37]

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