The inside of a car can get extremely hot in summer months. It doesn’t take much before the temperature inside of a vehicle becomes dangerous. For you, your loved ones or your little furry friends.
Tesla's Dog Mode screen
Not a Tesla App
Sometimes you may find yourself in a situation where you have a pet with you, but you need to run to a store. Even with your windows cracked, it’s a bad idea to leave your pet in the car on warmer or cold days.
Introducing Dog Mode
Tesla solves this problem with Dog Mode. Since Teslas are electric, there’s no engine that needs to run, meaning you can run any system in the car without needing the car to remain on. This includes the heater and air conditioner.
Dog Mode allows you to set the temperature in the car, just like you’d set it at home, and the car will keep the interior of the vehicle at that temperature until you return. It doesn’t matter whether the cabin needs to be heated or cooled, the car will control the HVAC to keep the vehicle at the selected temperature.
Letting Others Know Your Pet is Safe
Since leaving your pet alone in a vehicle isn’t normally a good idea and people may not be familiar with Tesla’s Dog Mode, Tesla also displays a message on the screen.
Tesla does a great job at letting bystanders know that your pet is safe inside of the car. Once Dog Mode is activated, a message will display on the car’s large center screen letting people know your pet is safe.
The screen will show a cute picture of a dog and display a message that states, “My driver will be back soon.” It will furthermore let them know to not worry, and that the heater or AC is on and it will display the current temperature inside of the car.
What Happens If the Battery Gets Low
The car will only let you activate Dog Mode if your charge level is above 20%. This is to be sure that there’s enough of a charge to keep your pet cool or warm and a buffer for you to get home.
If you have enabled Dog Mode and the battery reaches 20%, Tesla will send you a notification on your phone letting you know that the battery is getting low and that you should return to your car.
Dog Mode will remain on as long as possible until the car runs out of battery.
How Long Can You Leave Dog Mode On
The heater or air conditioner is getting power directly from your car’s battery. Besides driving, climate control is one of the largest draws of power. The amount of power actually consumed, or the amount of time your car can remain in Dog Mode is entirely dependent on the outdoor temperature and how much energy the car needs to use to keep the cabin at the selected temperature.
A rough estimate is that your car will use about 4 miles of range per hour in which the climate system is on. This will differ based on whether you’re using the heater or AC, your Tesla model and the outside temperature.
Which Models have Dog Mode
Dog Mode is a standard feature available in Tesla Model Y, Model 3, Model S and Model X. You do not need to have Tesla’s Premium Connectivity in order to receive notifications from your Tesla or to control your Tesla from the Tesla app.
How to Turn On Dog Mode
To activate Dog Mode you’ll need to be inside of the vehicle. Tap on the fan icon along the bottom navigation bar and you should see the HVAC screen come up. Toward the top right corner, you’ll see different modes, such as On, Dog and Camp.
Touching Dog Mode will activate it as soon as you leave the car. Just set your temperature and you’re all set.
How to Turn Off Dog Mode
Once you get back in the car and start driving, Dog Mode will automatically turn off. If you come back for just a minute and leave again, Dog Mode will remain on.
Dog Mode is a fantastic feature and shows a clear benefit of electric cars, where you don’t need to have the engine on in order to power the HVAC system. Please use it with caution and don’t leave your dog or pet unattended for long periods of time.
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.
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