Tesla Priority Device: Having Your Tesla Connect to the Correct Phone

By Kevin Armstrong
You can select a device that your Tesla will connect to first
You can select a device that your Tesla will connect to first
Tesla

Most Tesla owners have encountered the issue of entering their vehicle only to find it connected to the wrong Bluetooth device. This inconvenience can be particularly frustrating when you're in a hurry or when multiple passengers with paired devices are present. Fortunately, Tesla has developed a solution to this widespread problem — Tesla Priority Device.

Tesla's 'Priority Device' feature allows you to select a device for your car to connect to based on the chosen Tesla driver profile. You can assign a device to multiple profiles, ensuring a smoother connectivity process for all drivers.

How Tesla Priority Device Works

When you and your spouse or child enter the car simultaneously, the vehicle will first attempt to connect to the device associated with the active Tesla profile. The closest phone to the vehicle determines your driver profile when the doors are opened. Using Priority Device helps prevent issues like your Tesla connecting to someone else's phone inside the house.

Setting Up Your Priority Bluetooth Device

To set up your Priority Device, follow these simple steps:

  • Go to Controls by tapping the car icon in the lower-left corner of the vehicle.
  • Tap the Bluetooth icon at the top of your touchscreen.
  • Select your preferred device.
  • Tap "Priority Device."

The menu will display the Tesla profiles that have your device set as their priority device. You can set your phone as the priority device in multiple Tesla profiles, including profiles such as Easy Entry.

Your car will now attempt to connect to the priority device associated with the selected profile before trying to connect to other paired phones.

Shortcomings of Priority Device

Priority Device works great, as long as the vehicle selects the correct Tesla profile. Any issues in connecting to the incorrect device are usually caused by the vehicle determining the incorrect driver profile.

If the vehicle incorrectly determines the closest phone to the vehicle, then it will select the wrong Tesla Profile and consequently, the wrong Bluetooth device to connect to.

Troubleshooting Issues

It's important to realize how the process works. Your key fob or phone key is associated with a given Tesla Profile, which can then have a Bluetooth device that it will try to connect to first.

If your vehicle is consistently connecting to the wrong Tesla Profile or Bluetooth device, you should double-check your settings.

Start by going to Controls > Locks and check that your key fob, phone key, or key card is associated with the correct driver profile.

From there, confirm that you have a Priority Device associated with each Tesla Profile by going to Controls and tapping on the user icon and name at the top of the screen. To minimize connection issues, each Tesla Profile should be associated with a priority Bluetooth device.

The Future of Tesla Priority Device

As technology continues to advance, Tesla remains at the forefront of innovation. Tesla's Priority Device feature is just one example of its commitment to improving the driving experience. Future enhancements could include more advanced algorithms for identifying the correct driver profile or even connecting to multiple devices simultaneously.

Priority Device has improved Bluetooth connectivity in Tesla vehicles, allowing for more seamless connections instead of just connecting to the first Bluetooth device it finds.

Best Tesla News of the Week

Tesla Plans Massive 10x Robotaxi Expansion: A Look at the Potential New Area

By Karan Singh
The map above compares Tesla's current geofence with their potential expansion in yellow.
The map above compares Tesla's current geofence with their potential expansion in yellow.
Not a Tesla App

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.

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.

In the map below, the blue icons are sightings of Tesla validation vehicles, while the yellow map area represents their potential expansion. The map overlays Tesla’s phases 1 and 2 and compares them to Waymo’s first two phases. You can toggle each one by tapping the icon at the top left and choosing which geofences you’d like to view.

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.

No Driver Needed: Tesla FSD Stops at Toll, Waits for Driver to Pay and Takes Off Again [VIDEO]

By Karan Singh
@DirtyTesLa on X

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.

How It Really Works

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.

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.

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