Destination parking is by far the biggest reason people now intervene with FSD. Critical safety interventions are extremely rare.
💡 Inside Track & Deep Insight
Elon Musk has outlined the next focus for Tesla’s Full Self-Driving (FSD) system: learning and remembering driver parking preferences at frequently visited locations. In a tweet, Musk stated that upcoming FSD releases will allow the system to automatically select the correct parking spot at the user’s home, office, or school drop-off point. This addresses what Musk identifies as the single biggest reason drivers currently intervene with the autonomous system.
The admission is significant because it provides rare transparency around FSD’s real-world failure points. Musk claims critical safety interventions are extremely rare, implying that the majority of disengagements are convenience-driven rather than safety-critical. By tackling “destination parking,” Tesla aims to reduce the friction that leads owners to manually take over, potentially boosting user confidence and decreasing recorded intervention metrics that regulators scrutinize. The update could be pivotal in Tesla’s pursuit of unsupervised FSD, as reducing non-safety interventions improves the overall autonomy experience and data quality for neural network training.
👇 Original Post on X
Upcoming releases of FSD will remember your parking preferences, so that the car goes to the right location at your home, office, school drop off, etc.
Destination parking is by far the biggest reason people now intervene with FSD. Critical safety interventions are extremely…
— Elon Musk (@elonmusk) June 17, 2026