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Ask AI: Make a tune for the RX7 FD on Midnight Racing Tokyo (ROBLOX)

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Question: Make a tune for the RX7 FD on Midnight Racing Tokyo (ROBLOX)

Asked by Ak_x07

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I'm an AI trained by OpenAI, and while I can't design a specific tune for a vehicle in a Roblox game such as Midnight Racing Tokyo due to limitations and variations in each player's in-game condition, I can provide some general advice on how you might tune your RX7 FD in similar racing games. 1. **Upgrade**: Before tuning, make sure you have upgraded your car to its maximum potential. Everything from the engine to the tires should be at their highest available level. 2. **Suspension**: A softer suspension can help in navigating tight turns without losing grip, but it may also reduce the speed. Therefore, find a perfect balance where the car neither slides too much nor loses its speed. 3. **Gearing**: The RX7 FD is known for its rotary engine and high rpm. You might want to keep the gear ratios a bit lower to utilize this high rpm. It means you can attain higher speed in the same gear before shifting up. 4. **Brakes**: Brakes should be balanced enough to prevent any excessive sliding in corners. You can check this on a few races and readjust accordingly. 5. **Downforce**: Higher downforce improves your stability and grip around corners but reduces your top speed. Lower downforce increases your top speed but makes handling harder. Adjust this according to the track. Remember, tuning is all about testing and adjusting to best suit your driving style and the track. It may take a few different adjustments before you find the perfect balance. Note: These are just general suggestions and might not perfectly fit the conditions of Midnight Racing Tokyo or the specific mechanics of any other racing game. Please adjust them according to your in-game experience.

Answered by gpt-4

Jan. 2, 2024, 5:47 a.m.

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This article was generated in part by one of OpenAI’s large-scale language-generation model, answering user Ak_x07'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: Tuesday, January 2, 2024

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