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A self-driving AI in GTA V, trained on roughly 1.5 hours of human driving data. It uses only the raw game images to drive — purely vision-based, no access to game state, speed, coordinates, or any other data. The model is a frozen DINOv3 vision backbone with a small Transformer on top, trained to predict key presses (W, A, S, D) from short sequences of frames. The training data was driven "like a GTA player" — fast, aggressive, constantly overtaking. The model picks up on this and drives the same way. It frequently crashes but usually recovers on its own. This entire 15-minute run is fully uninterrupted — I did not help or intervene at any point. The only thing I did was briefly pause to set the next waypoint on the minimap once it reached the previous one. It starts in the city, gets onto the highway, does nearly the full GTA V highway loop around the map, drives back into the city, almost gets stuck but recovers on its own, heads back out to the highway, and eventually gets into an unlucky crash that pushes it onto a weird side road where it stops moving. For more details, source code, and training instructions, check out the GitHub: https://github.com/EduardR02/GTA-V-Se...