### Summary
AI opponents in racing games, such as Gran Turismo, MotoGP, and Forza Motorsport, are becoming smarter and more unpredictable due to the use of deep learning AI networks.
### Facts
- Racing game developers have started using deep learning AI networks to build their AI drivers, making the competition more challenging and exciting.
- Polyphony's Gran Turismo 7, Milestone's MotoGP series, and Turn 10's Forza Motorsport employ learning AI to create smarter and more human-like AI opponents.
- Sony's AI research division, in collaboration with universities, developed Gran Turismo's 'Sophy' AI using deep learning techniques and a large amount of information about the car and track.
- The AI was rewarded for making overtakes and penalized for being overtaken to create human-like behavior.
- Gran Turismo 7's AI drivers exhibit competitive racing behavior and react to other drivers, making the races more engaging.
- Milestone's MotoGP games also use similar techniques to make virtual versions of real riders dynamic and unpredictable on the track.
- Forza Motorsport 8's upcoming AI drivers have been trained with information and objectives, resulting in a more varied and skillful racing approach.
- The use of deep learning AI in racing games is improving the gameplay experience and making it more realistic and challenging.
The use of deep learning AI networks in racing games, such as Gran Turismo 7 and Forza Motorsport, has made AI opponents smarter and racing more unpredictable, creating a more exciting gaming experience.
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Forza Motorsport players are criticizing the game's live service model for producing "half-finished" features and missing content.
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Guide on earning credits efficiently in Forza Motorsport, including purchasing a VIP membership and playing at higher difficulty levels.