Tesla has recently committed new code to its Light Show Github repository that reveals several additional Lightshow features and shares specifications for others.
Tesla hosts the software for building Lightshows on GitHub, an open-source code repository. The new code was added five days ago, but given that this is a change to the actual software and not an on-vehicle change, we’re not sure whether the features below will be available for immediate use or will be available in a future software update.
Up to Four-Hour Long Light Shows
The feature update is pretty extensive and, for the most part, is focused on the Cybertruck and Model 3 Highland, but also features changes for other Tesla models.
There’s one general change, which now lets you create Light Shows that are up to four hours in length — yes, that’s really long. In the Holiday update, Tesla mentioned that Light Shows can now be longer, but this recent commit makes it seem like Tesla is essentially removing the limit of how long a Light Show can be.
Front & Rear Light Bars
On the outside of the Cybertruck, you’ll now be able to control the front light bar, but what’s even better is that you can control each of the 60 LEDs individually. The rear light bar is seeing similar improvements, letting you control each of the 52 LEDs individually.
This feature alone is going to create some amazing Light Shows, anything from which has 60 individually configurable LEDs each. The rear light bar has 52 individually controllable LEDs as well.
This alone is going to inspire some really creative designs, such as a Knight Rider-like animation as seen on Rivian.
These are, of course, locked to just white for the front light bar and red for the rear, but Lightshow designers will be able to configure how bright each individual LED is and feather them up and down in brightness.
As we saw in the absolutely epic Tesla octa-truck Lightshow, the off-road lightbar is also controllable on vehicles that have it equipped. For now, that’ll just be Foundation-Series Cybertrucks, but the lightbar has been confirmed to be compatible with the non-Foundation-Series vehicles once it arrives in the Tesla shop later this year.
The off-road lightbar has six segments - two side-facing ditch lights and four forward-facing lights. Although you won’t be able to address individual LEDs here, you’ll be able to control each segment (six total) and brightness.
This feature was added as part of the Holiday update, so it should be available for all vehicles on 2024.44.25 and higher.
Center Display Color
Over on the interior side, designers will get full RGB control for the center display. Even when viewing the light show from the exterior of the vehicle, the center display will light up the interior in any color of your choice, letting you add festive colors to your Light Shows.
The interior display is also available on the Holiday update and is available for all vehicles, including legacy Model S and Model X vehicles that support Light Shows.
Ambient Lighting
This one has been a long time coming, but you’ll finally be able to control the vehicle’s ambient lighting feature on the Cybertruck and new Model 3. The accent lights are split into five segments and are all controllable RGB, so you can set each section to a different color if you want. The sections include center front, left and right front, and left and right rear.
These are some massive additions to Tesla’s Light Show feature, and they’re arguably some of the best. The individually controllable LEDs in the light bars and the ability to choose colors for the first time will undoubtedly create some of the best Light Shows we’ve ever seen.
Unfortunately, Christmas is behind us now, but we’re sure developers will find other holidays that take advantage of colors, such as Independence Day.
Light Shows bring the Tesla community together, and they’re one of the most distinctive Tesla features. Enjoy the awesome Christmas Light Show compilation below. Thanks to Rhys Samson for sharing these Light Show changes with us.
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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.
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.
![No Driver Needed: Tesla FSD Stops at Toll, Waits for Driver to Pay and Takes Off Again [VIDEO]](https://www.notateslaapp.com/img/containers/article_images/fsd-beta/fsd-toll-booth.webp/57e008aff60c6c1e998e304eca200cda/fsd-toll-booth.jpg)
