Tesla is officially calling the feature 'Tesla Profiles.' With this latest update, you'll be given the option to tie your driver profile to your Tesla account.
If you decide to connect your profile to your Tesla account some of your vehicle's settings will be able to travel with you from one Tesla to another.
Settings such as mirror, seat and wheel positions will be synced across other supported vehicles. So if you're lucky enough to have multiple Teslas in your household and adjust your seat in one vehicle, then the setting will automatically be synced to the other vehicle.
Once your Tesla account is linked to a car profile, that car's profile will automatically appear in any other Teslas under your account.
These vehicles could be rentals or owned by you. As long as they show up in your Tesla app then your car profile will become available on that vehicle.
Having your car profile sync to multiple vehicles will be especially useful when renting a Tesla. It'll provide a consistent experience across vehicles and it'll save you time from having to adjust preferences such as your seat, mirrors, music preferences, and more.
This could be important for certain settings such as 'Stopping Mode'.
When you first get in the car, you may expect it to behave like your own Tesla and if the Stopping Mode is set to something unexpected, like roll, it could lead to confusion.
If you rent a Tesla or use one as a loaner, it'll feel almost magical being able to get in it and have it automatically adjust to you.
Tesla Profiles will go beyond just seat adjustments. It'll also include some vehicle settings, such as Autopilot, driving preferences, and climate control settings.
According to Tesla's release notes, navigation, media and data sharing preferences will also be tied to your Tesla account and sync over to other vehicles.
Synced settings will also include navigation favorites and recent destinations.
You'll be able to distinguish whether you're using a cloud profile or a local profile in your vehicle because Tesla Profiles will now include your profile photo from your Tesla app instead of the standard person silhouette. Your profile photo will appear next to your driver's profile name.
Tesla's release notes for this feature state:
Keep your settings and preferences synchronized across all supported vehicles using your Tesla account, including:
Mirror, seating and steering wheel adjustments
Autopilot, driving and climate control preferences
Navigation, media and data sharing preferences
You can set up your Tesla Profile from Driver Profile settings and change your profile picture from the Tesla Mobile app.
Tesla has always embraced whimsy in its software, packing it with playful Easter eggs and surprises. From transforming the on-screen car into James Bond’s submarine to the ever-entertaining Emissions Testing Mode and the fan-favorite Rainbow Road, these hidden features have become a signature part of Tesla’s software.
Of course, launching a new product like Robotaxi wouldn’t be complete without a fun little easter egg of its own. The end-of-ride screen in the Robotaxi app presents a familiar option “Leave a tip.”
For anyone pleased with their Robotaxi ride, they may be tempted to leave a tip. However, tapping the button presents our favorite hedgehog instead of a payment screen.
The app displays a message, alongside the familiar Tesla hedgehog, that simply states “Just kidding.”
While it's a fun prank, it’s also a nod to what Tesla really wants to do. They want to reinforce the economic advantage of an autonomous Robotaxi Network. Without a driver, there is simply no need to tip. The gesture is playful, but it’s a reminder of what Tesla’s real aim is here.
Over the last few days, we’ve seen some exceptionally smooth performance from the latest version of FSD on Tesla’s Robotaxi Network pilot. However, the entire purpose of an early access program with Safety Monitors is to identify and learn from edge cases.
This week, the public saw the first recorded instance of a Safety Monitor intervention, providing a first look at how they’re expected to stop the vehicle.
The event involved a complex, low-speed interaction with a reversing UPS truck. The Safety Monitor intervened to stop the Robotaxi immediately, potentially avoiding a collision with the delivery truck. Let’s break down this textbook case of real-world unpredictability.
The Intervention [VIDEO]
In a video from a ride in Austin, a Robotaxi is preparing to pull over to its destination on the right side of the road, with its turn signal active. Ahead, a UPS truck comes to a stop. As the Model Y begins turning into the spot, the UPS truck, seemingly without signaling, starts to reverse. At this point, the Safety Monitor stepped in and pressed the In Lane Stop button on the main display, bringing the Robotaxi to an immediate halt.
This is precisely why Tesla has employed Safety Monitors in this initial pilot. They are there to proactively manage ambiguous situations where the intentions of other drivers are unclear. The system worked as designed, but it raises a key question: What would FSD have done on its own? It’s not clear whether the vehicle saw the truck backing up, or what it would do when it finally detected it. It’s also unclear whether the UPS driver recognized that the Robotaxi was pulling into the same spot at the exact same time.
It’s possible this wouldn’t result in a collision at all, but the Safety Monitor did the right thing by stepping in to prevent a potential collision, even one at low speed. Any collision just a few days after the Robotaxi Network launch could result in complications for Tesla.
Who Would Be At Fault?
This scenario is a classic edge case. It involves unclear right-of-way and unpredictable human behavior. Even for human drivers, the right-of-way here is complicated. While a reversing vehicle often bears responsibility, a forward-moving vehicle must also take precautions to avoid a collision. This legal and practical gray area is what makes these scenarios so challenging for AI to navigate.
Would the Robotaxi have continued, assuming the reversing truck would stop?
Or would it have identified the potential conflict and used its own ability to stop and reverse?
Without the intervention, it’s impossible to say for sure. However, crucial context comes from a different clip involving, surprisingly, another UPS delivery truck.
A Tale of Two Trucks
In a separate video posted on X, another Robotaxi encounters a remarkably similar situation. In that instance, as another UPS delivery truck obstructs the path forward, the Robotaxi comes to a stop to let its two passengers out just a few feet from their destination.
Once they depart, the Robotaxi successfully reverses and performs a three-point turn to extricate itself from a tight spot. That was all done without human intervention, by correctly identifying the situation.
This second clip is vital because it proves that the Robotaxi's FSD build has the underlying logic and capability to handle these scenarios. It can, and does, use reverse to safely navigate complex situations.
Far from being a failure, this first intervention should be seen as a success for Tesla’s safety methodology. It shows the safety system is working, allowing monitors to mitigate ambiguous events proactively.
More importantly, this incident provides Tesla’s FSD team with an invaluable real-world data point.
By comparing the intervened ride with the successful autonomous one, Tesla’s engineers can fine-tune FSD’s decision-making, which will likely have a positive impact on its edge case handling in the near future.
This is the purpose of a public pilot — to find the final edge cases and build a more robust system, one unpredictable reversing truck at a time.
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