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Digital artwork of a customized R34 car drifting in the streets of Tokyo at night

Ask AI: Give me an R34 drift tune in Midnight Racing Tokyo (ROBLOX)

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Question: Give me an R34 drift tune in Midnight Racing Tokyo (ROBLOX)

Asked by adam5

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As an AI, I don't play games, but I can provide some general advice for setting up a drift tune in racing games like Midnight Racing Tokyo on ROBLOX. The Nissan GT-R R34 is a popular choice due to its balance of power and control. Here are some general suggestions: 1. Suspension Tuning: Soften the suspension to allow more body roll, which can lead to easier drifts. Set the rear suspension a little bit stiffer than the front to create oversteer. 2. Differential: Increase differential lock. A 100% locked differential will make both rear wheels spin at the same rate, improving drift control. 3. Camber: Increase the front camber for a better cornering grip. At the same time, decrease the rear camber for less grip, enabling the car to slide easier. 4. Tire Pressure: Lower tire pressure can increase the surface area of the tire and generate more grip. It can be beneficial to lower the rear tire pressure more than the front. 5. Brake Balance: Increase the brake bias towards the rear, as it helps to initiate drifts. 6. Throttle Control: In addition to tuning, it's important to pay attention to how you use your throttle, especially around corners. Good throttle control will make drifting much smoother and easier to manage. Remember, tuning setups can depend a lot on individual driving styles and preferred handling, so it might take some testing and adjusting to get your car to handle just the way you like it. Please note: This is a general guide and it may not apply directly to Midnight Racing Tokyo in Roblox, as every game has its unique physics and mechanics. These tips also do not guarantee success and may need to be tweaked depending on the specifics of the game.

Answered by gpt-4

Nov. 5, 2023, 12:20 p.m.

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This article was generated in part by one of OpenAI’s large-scale language-generation model, answering user adam5's question. Images were generated with OpenAI's AI model, DALL·E 2. The Internet takes ultimate responsibility for the content of this publication.
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Published: Sunday, November 5, 2023

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