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409•09/24/2026, 14:17•2 min read

GPT-6 Astra successfully navigates a track in a real car

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GPT-6 Astra successfully navigates a track in a real car

AI Daily Digest•Verified Tech Release
Executive TL;DR30s read

The DrivingBench team tested four AI models on controlling a real Toyota Corolla. Only GPT-6 Astra managed to complete the track.

The DrivingBench team connected four AI models to the steering wheel, gas, and brake pedals of a 2022 Toyota Corolla. The car moved along a cone-marked track in an empty parking lot, while the models received images from cameras and issued commands through control tools.

Astra turned out to be the only model that reached the finish line. In the first attempt, it completed 49% of the route, then analyzed its mistake and finished the track in 5 minutes and 22 seconds on the second try. The best result for Claude Fable 5.1 was 45%; Grok 4.6 and GPT-5.6 Sol failed to pass the first turn.

A human was behind the wheel at all times, ready to hit the brakes. The authors conducted only one series of attempts for each model, so the result does not indicate road reliability. However, the experiment already shows that a general-purpose model is capable of controlling a physical car and correcting its actions during the task.

Why it matters

Analysis

The experiment confirms that modern multimodal general-purpose AI models can effectively control complex physical systems in real-time, adapting to errors as they occur.

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