Updating to 2026.27.200

Under your supervision, FSD (Supervised) can drive your Tesla almost anywhere. It will start from a parked position, make lane changes, select forks to follow your navigation route, navigate around other vehicles and objects, make left and right turns and stop at your destination. You and anyone you authorize must use additional caution and remain attentive. It does not make your vehicle autonomous. Do not become complacent.

FSD (Supervised) is enabled on your vehicle. To use the feature, first watch the tutorial and take the quiz, available in the new Self-Driving App or in Control > Self-Driving. Then press the Start FSD (Supervised) button on the UI, or press the right scroll wheel button once. You can disable FSD (Supervised) in Self-Driving Settings.

This software update includes the remedy for EU Recall Submission 2026_103555. It restores compliance with UNECE Regulation No. 135.

After this update installs successfully, you do not need to take any further action for this recall. No service visit is required.

• You can now select an arrival option such as Parking Lot, Street, Driveway, and Pull Over for Robotaxi-style drop offs.
• Your preferences for arrival options and preferred parking positions are persisted for each destination.

Automatic Collision Evasion activates Full Self-Driving (Supervised) to try to keep your vehicle safe and then continue driving. It can engage while you are driving manually and detects that you are not sufficiently attentive to the road (for example, reaching toward the back seat), and that Full Self-Driving (Supervised) may have been unintentionally disengaged.

See your Owner's Manual for more details.

FSD (Supervised) v14.2 Lite includes:

• Distilled the intelligence from HW4 V14 into HW3. This allows HW3 to directly learn how to handle scenarios using HW4 V14 as a guide. This process unlocks the improvements that have been made to HW4 including Reinforcement Learning (RL) and offline models for HW3.
• Improved both proactive and reactive responsiveness across a wide variety of categories including navigation handling, merges and forks, pedestrian interactions, traffic lights, and vehicle cut-in scenarios.
• Improved general comfort in nominal scenarios through fewer false slowdowns, smoother steering and more consistent lane centering.
• Introduced parking, unparking, and reversing capabilities.
• Added Arrival Options for you to select where FSD should pull over or park: in a Parking Lot, on the Street, in a Driveway.
• Speed Profiles are now available at all times, to further customize driving style preference.

Full Self-Driving (Supervised) v14.3.9 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
• Actually Smart Summon max speed is now increased to 8mph (13km/h).
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.
• Parking options now display on the map when arriving at your destination.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

Under your supervision, Full Self-Driving (Supervised) can drive your Tesla almost anywhere. It will start from a parked position, make lane changes, select forks to follow your navigation route, navigate around other vehicles and objects, make left and right turns and park at your destination. You and anyone you authorize must use additional caution and remain attentive. It does not make your vehicle autonomous. Do not become complacent.

Full Self-Driving (Supervised) is enabled on your vehicle. To use the feature, press the Start Self-Driving button on the UI, or press the right scroll wheel button once. You can disable Full Self-Driving (Supervised) in Self-Driving Settings.

FSD (Supervised) will now determine the appropriate speed based on a mix of driver profile, speed limit, and surrounding traffic.

• Introduced new Speed Profile SLOTH, which comes with lower speeds & more conservative lane selection than CHILL.
• Driver profile now has a stronger impact on behavior. The more assertive the profile, the higher the max speed.
• Right scroll-wheel up/down now adjusts Speed Profile setting rather than your precise max speed offset selection in mph/kph.

A button will appear on the screen when driver requirements are met. Driver requirements include (but are not limited to):

• Driver is seated in driver's seat
• Driver is buckled
• Cabin Camera is unobstructed

Brake Confirm requires the driver to press and release the brake pedal before FSD (Supervised) can be activated. When Brake Confirm is disabled, pressing the button will allow Self-Driving to apply the brakes and engage FSD (Supervised). If driver detection requirements are not met or if FSD (Supervised) does not detect a driver, you will be required to press and release the brake pedal to confirm. You can enable Brake Confirm in Self-Driving > Brake Confirm.

This feature does not make your vehicle autonomous and you must remain attentive and be ready to take over at any time. Only a licensed driver authorized to operate the vehicle should be allowed access to the driver's seat position any time the vehicle is not in Theater or Arcade modes.

Adjust settings like the Speed Profile and Arrival Options directly from the Self-Driving visualization on the center display.

Your Tesla can now extend your home's backup power duration during an outage by sharing its battery with your Powerwall. When plugged in and enabled, your vehicle automatically supplements your home's energy supply when needed.

To enable, go to Charging > Powershare. This feature works when your vehicle is parked and plugged into a compatible Wall Connector with charge above your set discharge limit. Requires a Powerwall.

Full Self-Driving (Supervised) v14.3.9 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.
• Parking options now display on the map when arriving at your destination.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

FSD (Supervised) v14.1 Lite includes:

• Distilled the intelligence from HW4 V14 into HW3. This allows HW3 to directly learn how to handle scenarios using HW4 V14 as a guide. This process unlocks the improvements that have been made to HW4 including Reinforcement Learning (RL) and offline models for HW3.
• Improved both proactive and reactive responsiveness across a wide variety of categories including navigation handling, merges and forks, pedestrian interactions, traffic lights, and vehicle cut-in scenarios.
• Improved general comfort in nominal scenarios through fewer false slowdowns, smoother steering and more consistent lane centering.
• Introduced parking, unparking, and reversing capabilities.
• Added Arrival Options for you to select where FSD should pull over or park: in a Parking Lot, on the Street, in a Driveway.
• Speed Profiles are now available at all times, to further customize driving style preference.

Full Self-Driving (Supervised) v14.3.8 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.
• Parking options now display on the map when arriving at your destination.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

Add songs to your Apple Music queue directly from Search results and Artist pages. Tap and hold a song, or tap the three-dot menu to play next, add to queue, save to your library, or mark as a favorite. Requires an active Apple Music subscription.

Automatic Navigation now adapts to your routine. In addition to Home, Work, and upcoming calendar events, your vehicle can now suggest and route to the places you visit regularly, like a school drop-off on the way to work, or the gym on the way home.

To enable, go to Controls > Navigation > Automatic Navigation. Location data is anonymous to Tesla and not associated with your vehicle.

You can now open Camera Preview at any time, even if your Tesla is not in Park.

Go to Controls > Service > Camera Preview and tap on any camera view to see it individually. Tap the grid button to switch back to all cameras.

Caraoke now scores your singing while in Park. Earn stars and track your high scores in the My Karaoke tab. On the rear display, tap the queue button to show a QR code for passengers to scan and add songs to the queue from their phones. Requires Premium Connectivity.

Use the Mobile App to upload custom wrap designs from images on your phone and send directly to your Tesla. Go to Creations > Wrap > Upload. Requires Mobile App v4.59.0 or later.

To access in car, go to App Launcher > Toybox > Paint Shop.

Customize your Self-Driving zoom preference. Pinch the visualization or select one of the presets in Controls > Self-Driving > Visualization Camera Zoom.

Your estimated battery range now incorporates additional characteristics related to battery aging over time.

Grok can now make phone calls, play music, adjust climate, and search the Controls panel. Ask Grok about your Tesla or what was included in the latest software update.

Go to Grok > Settings to enable or disable "Hey Grok" and location-based reminders. Requires Premium Connectivity or a WiFi connection. Conversations are anonymous to Tesla and not associated with your vehicle.

Navigation now prioritizes routes that you've taken before. Location data is anonymous to Tesla and not associated with your vehicle.

Disable rear touchscreen controls from the center display by going to App Launcher > Rear > Lock Rear Display. Content selected from the center display will continue to play in the rear.

You can now view and share Self-Driving stats from your phone. Go to Mobile App > Self-Driving. Requires Mobile App v4.59.0 or later.

Set your desired Arrival Energy for any trip from your phone. Open the location tab in the Tesla Mobile App, enter your destination, and tap Set Arrival Energy. Requires Mobile App v4.58.0 or later.

Swipe up to see your new features in the 2026 Summer Update.

You can now find Superchargers by name when searching for a destination.

Choose from three updated traction control modes: Auto for normal driving conditions, Slippery Surface for icy or wet roads, or Stuck Assist when stuck in snow, mud, or sand. The mode resets to Auto at the start of each drive. To select, go to Controls > Dynamics > Traction Control Mode.

You can now use your Tesla's interior camera and cabin microphone in Web Browser. Tap to grant permissions when a website requests access. Camera is only available while parked.

Your Tesla now welcomes you with animations when turning on.

You can now talk to Grok, an intelligent assistant built by xAI. To launch Grok, go to App Launcher > Grok, long-press the voice button on your steering wheel, or say "Hey Grok." Enable "Hey Grok" in Grok > Settings. Say "goodbye" to dismiss.

You can choose Grok's voice and personality, ranging from Storyteller to Unhinged. Set Grok's personality to Assistant to have Grok add and edit navigation destinations, becoming your personal guide. You can also set location based reminders, like "remind me to pick up milk when I'm near home." Enable location based reminders in Grok > Settings.

Requires Premium Connectivity or a WiFi connection. Conversations are anonymous to Tesla and not associated with your vehicle.

Note: Grok is currently in early Beta and does not support voice commands for car controls other than navigation. Existing voice commands remain unchanged. "Hey Grok" is trained on American English.

Navigation now includes symbols along your route to show speed cameras. Requires Premium Connectivity.

Navigation now includes symbols along your route to show traffic lights and stop signs. Requires Premium Connectivity.

Full Self-Driving (Supervised) v14.3.7 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.
• Parking options now display on the map when arriving at your destination.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

Dashcam clips are now encrypted for privacy when saved to your USB flash drive. Only your vehicle can view them. To decrypt clips, tap the padlock icon in the Dashcam app or visit dashcam.tesla.com. To disable encryption, go to Controls > Safety > Encrypt Dashcam Recordings.

You can now block Browser, Theater, and Arcade from your Tesla by going to Controls > Safety > Parental Controls while in Park.

Brake Confirm for the Start Self-Driving button is now defaulted off. When disabled, Start Self-Driving will not require you to press and release the brake to confirm engagement.

You can enable Brake Confirm in Self-Driving > Brake Confirm.

Full Self-Driving (Supervised) v14.3.5 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.
• Parking options now display on the map when arriving at your destination.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

Under your supervision, Full Self-Driving (Supervised) Down Under can drive your Tesla almost anywhere. It will make lane changes, select forks to follow your navigation route, navigate around other vehicles and objects, and make left and right turns. You and anyone you authorise must use additional caution and remain attentive. It does not make your vehicle autonomous. Do not become complacent.

Full Self-Driving (Supervised) Down Under is enabled on your vehicle. To use the feature, press the right scroll wheel button once. You can disable Full Self-Driving (Supervised) Down Under in Self-Driving Settings.

Be aware of road conditions or hazards (such as pot holes and speed bumps) and operate the vehicle responsibly under all circumstances.

Check your Owner's Manual for additional guidance regarding the second row child safety seat installation.

FSD (Supervised) v14 Lite includes:

• Distilled the intelligence from HW4 V14 into HW3. This allows HW3 to directly learn how to handle scenarios using HW4 V14 as a guide. This process unlocks the improvements that have been made to HW4 including Reinforcement Learning (RL) and offline models for HW3.
• Improved both proactive and reactive responsiveness across a wide variety of categories including navigation handling, merges and forks, pedestrian interactions, traffic lights, and vehicle cut-in scenarios.
• Improved general comfort in nominal scenarios through fewer false slowdowns, smoother steering and more consistent lane centering.
• Introduced unparking and reversing capabilities.
• Introduced Speed Profiles to further customize driving style preference.

You can now tap on points of interest on the map to explore destinations or begin navigation.

You can now send navigation destinations directly to your Tesla. To send from the Mobile App, go to Location > Navigate, add a destination, and tap Send to Car. Requires Mobile App version 4.57.0 or later.

To send from NAVER Maps or TMAP, add a destination and go to Share > Tesla. To send from KakaoMap, add a destination and go to Share > Share Address > Tesla.

Maps now show weather data, including different types of precipitation like rain and snow. You can also view the past hour of weather data to see how conditions have been changing along your route. This feature requires Premium Connectivity. To view, tap the weather icon on the map.

Full Self-Driving (Supervised) v14.3.6 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.
• Parking options now display on the map when arriving at your destination.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

Full Self-Driving (Supervised) v14.3.5 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.
• Parking options now display on the map when arriving at your destination.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

Navigation now shows which lanes to take to follow your route. This feature requires Online Routing and Maps version 2026.20 or later. To enable, go to Controls > Navigation > Online Routing.

If you attempt to open a door while an approaching object is detected in your blind spot (for example, a bicyclist approaching from behind) the blind spot indicator light flashes, a chime sounds, and your door will not open upon initial button press. Wait a short time and press the button a second time to override the warning.

This change only updates the name of certain features and text in your vehicle, and does not change the way your features behave.

• Navigate on Autopilot has been renamed to Navigate on Autosteer
• FSD Computer has been renamed to AI Computer.

Full Self-Driving (Supervised) v14.3.3 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

• Added Arrival Options for you to select whether FSD should park or stop curbside.
• 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 busses.
• 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!

Upcoming Improvements:

• Overall smoothness and sentience
• Parking spot selection and parking quality

Full Self-Driving (Supervised) v14.3.4 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
• Actually Smart Summon max speed is now increased to 8mph (13km/h).
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.
• Parking options now display on the map when arriving at your destination.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

Full Self-Driving (Supervised) v14.3.3 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
• Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
• Actually Smart Summon max speed is now increased to 8mph (13km/h).
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.
• You can now see distance traveled in FSD (Supervised) without an intervention. The Self-Driving App will also show your longest intervention-free streak.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.

Navigation now shows estimated toll fees for each route, including discounted EV rates where available. This feature requires Online Routing. Go to Controls > Navigation > Online Routing to enable.

Accent lights now turn red when an object is in your blind spot and your turn signal is engaged, or when an approaching object is detected while parked. To disable, go to Controls > Lights > Blind Spot Warning Accent Lights.

A chime will play when the traffic light you are waiting for turns green. If you are waiting behind another vehicle, you’ll hear the chime when the vehicle advances, unless Traffic-Aware Cruise Control or Autosteer is on. This chime is only a notification. To enable, go to Controls > Self-Driving > Green Traffic Light Chime.

Premium Immersive Sound uses advanced sound extraction to place the listener in front of a detailed soundstage within an Immersive space. This enhancement works with all streaming sources.

Go to Settings > Audio > Tone > Immersive Sound to adjust.

You can now check on the interior of your Tesla while you're away. To enable, go to Controls > Safety > View Live Camera via Mobile App. Live Camera is end-to-end encrypted and can't be accessed by Tesla. This feature requires Premium Connectivity and Tesla Mobile App version 4.55.6 or later.

With the new Self-Driving app, subscribe with a single tap, learn how to activate and use the feature, and view ongoing stats.

To open, go to App Launcher > Self-Driving.

The center display now features higher quality images of your Tesla, and an enhanced park scene environment.

• Enable or disable wireless phone charging pads in Controls > Charging.
• Your vehicle will now send a mobile alert if any cabin door is left open while Dog Mode is active.
• Add Spotify tracks to your queue right from the search screen.
• Scroll through large Spotify playlists, albums, podcasts, audiobooks, and your library seamlessly, without paging.
• Lock Sound now includes Light Cycle from Tron Mode. Go to App Launcher > Toybox > Boombox > Lock Sound.
• Allow your vehicle to share charging data with Tesla to support features like Charge Stats in the Tesla app.

Your vehicle now has the ability to actively reduce low-frequency road noise while driving on rough surfaces. To accomplish this, the system uses the seat microphones to measure the noise in the cabin, then generates anti-noise through the speakers to create quiet zones around occupants.

Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.

FSD (Supervised) v13 Down Under upgrades every part of the end-to-end driving network.

Includes:

• 36 Hz, full-resolution AI4 video inputs
• Native AI4 inputs and neural network architectures
• 4.2x data scaling
• 5x training compute scaling (enabled by the Cortex cluster)
• Reduced photon-to-control latency by 2x
• Integrated unpark, reverse, and park capabilities
• Improved reward predictions for collision avoidance
• Improved camera cleaning
• Redesigned controller for smoother, more accurate tracking
• Dynamic routing around road closures, which displays them along an affected route when they are detected by the fleet

Upcoming Improvements:

• 3x model size scaling
• 3x model context length scaling
• Audio inputs for better handling of emergency vehicles
• Improved reward predictions for navigation
• Improvements to false braking and slower driving in parking lots
• Support for destination options including pulling over, parking in a spot, driveway, or garage
• Efficient representation of maps and navigation inputs
• Improved handling of camera occlusions

When Full Self-Driving (Supervised) is enabled, the driver monitoring system primarily relies on the cabin camera to determine driver attentiveness. Cabin camera must have clear visibility (e.g., camera is not occluded, eyes, arms, are visible, there is sufficient cabin illumination, and the driver is looking forward at the road without sunglasses, or other objects covering their eyes). In other circumstances, the driver monitoring system will primarily rely on torque-based (steering wheel) monitoring to detect driver attentiveness.

If the cabin camera detects inattentiveness, a warning will appear. The warning can be dismissed by the driver immediately reverting their attention back to the road ahead. Warnings will escalate depending on the nature and frequency of detected inattentiveness, with continuous inattention leading to a Strikeout.

Full Self-Driving (Supervised) v14.3.2 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
• Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
• Help Tesla improve Self-Driving by selecting an intervention reason on the main screen after taking over.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.
• Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.

Full Self-Driving (Supervised) v14.3.1 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.
• Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.

Full Self-Driving (Supervised) v14.3 includes:

• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Increased decisiveness of parking spot selection and maneuvering.
• Improved parking location pin prediction, now shown on a map with a P icon.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping — driven by training on hard RL examples sourced from the Tesla fleet.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.

Upcoming Improvements:

• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.
• Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.

You can now talk to Grok, an intelligent assistant built by xAI. You can choose Grok's voice and personality, ranging from Storyteller to Unhinged.

Grok can add and edit navigation destinations, becoming your personal guide. You can ask Grok to navigate to the best Thai restaurant near you, find a Supercharger within walking distance of a coffee shop, or even plan a romantic sightseeing tour. Requires Premium Connectivity or a WiFi connection. Conversations are anonymous to Tesla and not associated with your vehicle.

To launch Grok, go to App Launcher > Grok, or long-press the voice button on your steering wheel after you have logged in to Grok. Set Grok's personality to Assistant to use Navigation Commands.

Note: Grok is currently in early Beta and does not support voice commands for car controls other than navigation. Existing voice commands remain unchanged.

Charging can now be stopped and the charge cable released by pulling and holding the rear left door handle for 3 seconds, provided the vehicle is unlocked or a recognized key is nearby. This is especially useful when the charge cable unlatch button does not work or a charging adapter is stuck in the charge port. You can still release the cable using the vehicle touchscreen or the Tesla app.

Your vehicle will chime a few seconds after the doors close if a phone is left on the wireless charger and no occupants are detected.

Go to Controls > Locks > Phone Left On Wireless Charger Chime.

Full Self-Driving (Supervised) v14.2.2.4 includes:

• 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 busses.
• 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

Full Self-Driving (Supervised) v14.2.2.3 includes:

• 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 busses.
• 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

Full Self-Driving (Supervised) v14.2.2.2 includes:

• 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 busses.
• Improved FSD's ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
• Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
• 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

Full Self-Driving (Supervised) v14.2.2 includes:

• 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 busses.
• 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

• You can now choose Exclude Home when Cabin Overheat Protection or No A/C is enabled.

Forward Collision Warning is now accompanied by haptic feedback in addition to audible and visual warnings. Warnings cancel automatically when the risk of a collision has been reduced.

Forward Collision Warning is enabled by default.

The Dashcam Viewer app has been updated with a grid view, making it easier to access and review recordings.

The Onboarding Guide helps you get familiar with your Tesla. It covers adjusting driver settings, using the touchscreen as well as controlling lights, wipers, and Autopilot features - among other functions.

Go to App launcher > Manual > Get To Know Your Tesla.

Radio now supports Traffic Announcements in supported regions. Tap the traffic icon on the Now Playing screen to toggle the feature—when enabled, the bold icon indicates announcements will play.

This update includes important security fixes and improvements.

This release contains minor fixes and improvements