Tesla had to unify city driving and highway.
Tesla still needed 2 billion miles of driving data in 2024.
Tesla created superior testing and simulation systems.
Tesla automated labeling so no human labelers were needed.
They mostly automatically identify all of the learning cases.
They pull gigabytes of data each car from every day. Hundreds of petabytes.
They have proper scoring of the quality and safety of human drivers. The AI then copies the best human drivers.
The choice is to Spend $10+ Billion to try to catch up to Tesla on a multi-year project or license an FSD the will have solved robotaxi.