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A strategic approach to dataset creation could empower smaller labs to make significant advancements in autonomous driving without overspending on data collection.
Training data is not enough: reasoning traces from diverse cultural backgrounds are critical for safe and reliable autonomous driving in rare, long-tail scenarios.
