Tesla has updated its English voice for navigation guidance on newer vehicles. Many users have noted a change in the pitch and speed of the spoken text when using Tesla’s navigation system. Right now, we’re not sure whether this voice change is an indication of a larger change that’s coming, a minor tweak for better clarity, or possibly a bug.
Update: We’ve updated the article with how you can get the new voice in your existing vehicle.
Tesla Voice Guidance
A reader, known as FSDTester#420 on Tesla Motors Club, recently reached out to us to report a new nav voice. He took delivery of a new Tesla and immediately noticed that the navigation’s voice was much better than his other Tesla. The voice is noticeably faster and appears to have fewer pauses, making it sound more natural.
After posting his experience on Tesla Motors Club, other readers chimed in, saying they had the same voice in their new vehicle. The change does not appear to be affecting older vehicles, but it turns out you can update other vehicles as well (see steps below).
Video
You can listen to the navigation voice guidance in the video video below by FSDTester#420.
It turns out you can get the new voice on older vehicles as well, but it requires resetting all of your settings. X user, IRSHater69, tipped us off that a software reset may get you the new nav voice, and @brandonee916 just recently tried it and confirmed that resetting the MCU will indeed get you the new, faster voice.
If you’d like the new voice, you’ll need to factory reset your vehicle, meaning that all settings will go back to their factory defaults. You can do this by going to Controls > Service > Factory Reset. This will reset all of your vehicle settings, but most settings are now saved to your Tesla profile in the cloud, assuming you have one set up. Keep in mind that not all settings are saved to your profile and will be lost.
Settings such as browser bookmarks, trip meters, and others are not saved to your profile, and you will lose them if you factory reset your vehicle. Any drivers who don’t use a cloud account (the ones that display an avatar) will also be lost, and the driver will need to set them up again. This includes data such as seat and mirror positions, Autopilot settings, and more.
Update: Brandon has reported that his navigation voice has reverted back to the older one. It’s not clear what caused it to revert or if other users would face the same situation. If you have tried a factory reset and received the new voice, let us know.
Tesla Smart Assistant
It looks like Tesla will be updating its Voice Commands system in the future, with Musk recently saying that Tesla will support Grok AI in the car. Tesla’s current voice commands are limited and require you to say phrases in a very specific way, although they do give you access to the most common features (Top 10 Tesla Voice Commands).
Overall, voice commands are not very smart – and they’re nothing like using Google Gemini with Voice or other modern AI-based assistants. Back in January, Tesla began implementing a smart assistant in China – which brought things beyond just vehicle control, like weather updates, stock market information, language translation, and even poetry.
However, this never made its way out of China, even though Tesla’s smart voice assistant has been sitting dormant in the software for quite a while. It looks like we’ll get a wake-word, similar to the common “Hey, Tesla” – it could even be “Hey, Grok” – if we get full Grok integration as previously hinted at by Elon Musk earlier in 2024.
Either way, for now, there haven’t been any significant changes, but this voice change we’re seeing could be related to Tesla’s upcoming smart assistant feature, where they may need a more capable, more natural sounding voice.
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With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.
Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.
Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles. You can check this out in our map below with the sightings we’re tracking.
If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.
From Urban Core to Rural Roads
The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.
In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges.
In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.
In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.
Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.
Rapid Scaling
This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.
While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.
Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.
For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.
Toll Booth Magic
In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.
If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.
While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.
It can see the transaction happening using the repeater & pillar cameras. Hence FSD proceeds on its own when the transaction is complete 😎
FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.
The Bigger Picture
This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.
If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.
These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.
This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.
These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.
