Tesla (TSLA) has begun the rollout of the FSD v14.2.2.2 (2025.45.7) update. This new Tesla Full Self-Driving (Supervised) software update came just days after the FSD v14.2.2 (2025.45.5) point release.
Looks like the Tesla AI team is burning the midnight oil during the end-of-year holidays as well. The FSD v14.2.2 update dropped just before Christmas Day.
However, when Tesla owners tested this update, there were issues found with Grok Navigation Commands, false braking, and minor problems. Tesla AI development team quickly responded to feedback and has started to deploy FSD v14.2.2.2 just a few hours ago.
FSD v14.2.2 (2025.45.5) is still the most widely-released FSD v14 version as of this writing. The transition to FSD v14.2.2.2 (2025.45.7) update has been slow as of yet, but it will most probably take over the previous update as a wide release in the next few days.
The official release notes for both FSD v14.2.2 and v14.2.2.2 are the same. However, compared to the previous FSD v14.2.1.25, Tesla has added a new line about interior camera visibility and attention monitoring sensitivity.
Unlike the previous updates, FSD v14.2.2 onwards, attention monitoring has become variable. Depending on the interior camera’s visibility and other factors, monitoring of the human supervising Tesla FSD can increase or decrease.
“Camera visibility can lead to increased attention monitoring sensitivity,” state the official release notes of the update (read in full below).
Official Tesa Release Notes: FSD v14.2.2 (2025.45.5) and FSD v142.2.2 (2025.45.7)
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional speed profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Camera visibility can lead to increased attention monitoring sensitivity
Upcoming Improvements:
- Overall smoothness and sentience
- Parking spot selection and parking quality
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