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." Say "goodbye" to dismiss.
Choose Grok's voice and personality, ranging from Storyteller to Unhinged, or set it to Assistant to add and edit navigation destinations, make phone calls, play music, adjust climate, and search the Controls panel. Ask Grok about your Tesla or what was included in your latest software update. You can also set location-based reminders, like "remind me to pick up milk when I'm near home."
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.
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.
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.
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. Online Routing must be enabled at Controls > Navigation > Online Routing. 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.
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.
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.
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.
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.
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.
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.
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.
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.
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. You can also disable Brake Confirm in Self-Driving > Brake Confirm. When Brake Confirm is disabled, pressing the button will allow Self-Driving to apply the brakes and engage FSD (Supervised).
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.
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.
Available on
CybertruckModel YModel 3Model S (Refresh)Model X (Refresh)
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.
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.
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.
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.
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.
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.
