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The article focused on testing the general artificial intelligence models' ability to drive a "Toyota Corolla" as part of the "DrivingBench" project. The test was conducted in an enclosed parking lot at low speeds, with a human driver present for intervention when necessary. Several models participated in the tests, including GPT-6 Astra, Claude Fable 5.1, Grok 4.6, and GPT-5.6 Sol, with varying results. Notably, the GPT-6 Astra model completed 49% of the route on its first attempt and succeeded in completing the entire route during a second try, covering 134.7 meters in 5 minutes and 22 seconds. However, these results do not indicate that AI can drive on open roads. The experiment demonstrated that driving requires immediate response, understanding of the vehicle's position and movement, and real-time error handling—challenges that differ significantly from processing information on screens.
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