It's not a good day to be named Max and work at Tesla or on the security team assigned to the Cybertruck. You can't help but wonder how a daring individual found himself in the driver's seat of this highly anticipated vehicle. This perpetrator spoke in Russian and joked that a bag in the truck belonged to Elon Musk before zooming in to a name tag reading "Max."
While we certainly don't condone breaking the law, we were provided with a risky reveal of the Cybertruck's interior courtesy of a mysterious and perhaps too-bold-for-his-own-good infiltrator.
Cyber-Theme UI
The video is less than a minute long but provides new information, notably on the updated user interface (UI). For weeks we've had Cybertruck sightings, but this is our best look at the Cybertruck's display.
Updated Icons and Font
The UI appears designed specifically for the Cybertruck; icons possess subtle sharp edges, mirroring Cybertruck's angular aesthetics. This design philosophy also extends to the unique font choice, giving the UI a rugged, distinct look.
Visualizations
A further advancement is the seamless transition between vehicle visualization and maps. The once-clear partition is a fading background, allowing for a more unified appearance. This unity is further emphasized with the vehicle now being depicted atop a 3D polygon terrain, which has been discovered before in firmware updates.
Icon Placement Changes
One of the first distinctions users would notice is the transition from horizontal app icons. This design has been the hallmark of previous Tesla models, to a vertical arrangement along the lefthand side of the screen.
The vehicle control icon is at the bottom, followed by climate controls and other apps. The gear indicator has evolved, too, switching from its usual horizontal layout to a vertical orientation in the screen's top left portion.
A closer look at the Cybertruck's UI
Vladvein/YouTube
The status icons, such as time, temperature, Tesla profile used to grace the top of the display, but they have now been realigned to the left side and can now be found directly above the vehicle visualization.
Cameras, Front Camera Confirmed
Another intriguing update revolves around the Camera app. Where previously users had to decipher camera views, they are now labeled for convenience, as showcased in the video with marked "Left" and "Front" camera views. Yes, there is a front camera view, finally answering the question of Tesla introducing the front bumper camera. We previously had a look at how we expect Tesla's updated Camera app to work with the front bumper camera.
Battery Icon
One of the standout features in the video is the battery display. Gone are the traditional battery icons. Instead, we are introduced to slanted lines, each symbolizing 10% of the battery charge. This visual representation is intuitive and integrates with the Cybertruck's angular design.
Music Mini Player?
Beneath the vehicle visualization is what appears to be a minuscule music control feature, though its precise functionality remains uncertain from the short video clip.
Inside the Cybertruck: More than Just a Fresh UI
Ambient Lighting: Drawing inspiration from the latest Model 3 Refresh and the Chinese Model Y, the Cybertruck incorporates a colorful ambient lighting strip. Strategically placed, this lighting adds a modern aura to the vehicle's groundbreaking design.
Interior Layout and Accessories: The video takes us on a mini-tour of the truck's interior, revealing several intriguing features:
Hexagonal Design Elements: Keeping in line with Cybertruck's geometric aesthetic, the backup camera icon flaunts a hexagonal design, intriguingly contrasting the octagonal design found on the cupholders.
Center Console: A spacious tray area reminiscent of the old Model S finds a home between the front seats. Decked with some wires and a yet-to-be-identified document, the console boasts "cyber cupholders" with an octagonal design. Furthermore, it's equipped with dual phone charging spots right in front of the cupholders.
Sun Visor: The video briefly showcases the two-stage sun visor, which resembles the one found in the Model X. The video provides a glimpse of the massive glass roof, promising a panoramic view that will undoubtedly make the interior feel even more expansive.
Rear Window View: A feature with many talking is the clear view through the back window. Although the video offers only a short glimpse, obstructed by tires placed in the truck's bed, it's evident that when the cover is open, drivers and passengers will benefit from an expansive, unobstructed view.
As one viewer pointed out, this video will probably be used for evidence one day. Whoever was in the Cybertruck owes Max an apology, and poor Max needs to remember to lock the door.
Video reveals the Cybertruck’s UI
- apps are along the left side - status bar icons like time and temp are above the vehicle visualization - smaller nav search icon - gradient between the visualizations and map
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.
