AI Signal 423
OpenAI's GPT-6 Astra successfully drove 134.7 meters in a parking lot at low speed
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First LLM to pass driving test performed in a controlled environment with significant costs incurred
This event marks a significant milestone in AI's ability to interact with the physical world, specifically in autonomous driving. However, the high operational costs and safety concerns highlight the challenges that remain before such technology can be practical for real-world applications.
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GPT-6 Astra completed a driving course while other models failed to finish.
The total cost of the driving test was approximately $7.74 for tokens, plus additional hardware expenses.
Safety concerns were prevalent, with models sometimes refusing to drive even in a controlled setting.
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OpenAI's GPT-6 Astra has demonstrated the ability to steer a vehicle over a distance of 134.7 meters, a notable achievement considering that other models failed to complete similar tasks. The completion required two attempts, taking over five minutes at a very slow speed of 0.94 miles per hour.
The operation incurred significant costs, amounting to $7.74 for 6.6 million tokens necessary for inferencing. Additionally, there was a hardware cost of $999 for the comma four driver assistance device and software required to interface with the car and the AI model. This results in a staggering cost of about $92.47 per mile driven.
Despite this achievement, several limitations and concerns were highlighted. The model's performance was heavily dependent on maintaining an internet connection, and latency issues were prominent during the driving test. Furthermore, the AI models exhibited safety reservations, often needing to be reassured or misled to proceed with driving tasks, indicating that practical applications in real-world driving remain distant.
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