"Tesla has long emphasized that large-scale real-world data is central to improving its neural network-based approach to autonomy. Each mile driven with FSD (Supervised) engaged contributes additional edge cases and scenario training for the system."
"Musk has stated that roughly 10 billion miles of training data may be needed to achieve safe unsupervised self-driving at scale, citing the "long tail" of rare but complex driving situations that must be learned through experience."
"Annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles."
Tesla's Full Self-Driving (Supervised) system has surpassed 8.4 billion cumulative miles, as tracked on Tesla's official safety page. Large-scale real-world data is fundamental to improving Tesla's neural network-based autonomy approach, with each mile contributing edge cases and scenario training. CEO Elon Musk previously stated that approximately 10 billion miles of training data may be needed for safe unsupervised self-driving at scale, particularly to address rare but complex driving situations. Annual FSD miles have grown exponentially from 6 million in 2021 to 4.25 billion in 2025, with 1 billion miles logged in the first 50 days of 2026. Growth drivers include Tesla's expanding vehicle fleet, free trials, and Robotaxi operations. At current pace, the fleet is trending toward 10 billion miles this year, though regulatory approval for fully unsupervised deployment remains pending.
Read at TESLARATI
Unable to calculate read time
Collection
[
|
...
]