GTA San Astra

GTA San Astra gives GPT-6 Astra a controller and asks it to drive in Grand Theft Auto: San Andreas using screenshots as its only sensor. It is a visual autonomy experiment: can a general-purpose model learn steering, braking, lane positioning and recovery by observing the consequences of its own actions? A native macOS bridge connects a PS2 emulator to a Python control loop. Astra selects every driving action, compares successive screenshots, and carries forward concise route and vehicle-dynamics notes. We tested both paused thinking and a mode that keeps the world moving at half speed during inference. Native recordings, frame exports and decision logs make each attempt inspectable. The prototype can navigate roads and complete individual turns, but still makes lane, collision and recovery errors. A full return around the block is not yet proven. The project turns a familiar game into a concrete test of visual reasoning and closed-loop control.