As part of the 2024 Tesla Holiday Update, Tesla hacker Greentheonly, has once again uncovered features that are coming in a future software update. Green regularly decompiles Tesla’s software updates and is able to see features that have yet to see the light of day. These features are in production code, but sometimes have only been partially developed or are being tested or waiting to be turned on remotely. Either way, it gives us an early look at features that are likely to be released in the coming months.
Recently Green spotted two new features, Trailer Profiles and new navigation routing options.
Update: Trailer Profiles are currently available for the Cybertruck, while the navigation routing options are currently available in China.
Trailer Profiles
According to Green, the new Trailer Profiles feature is expected to let you record your trailer mileage and select whether it’s an open or closed trailer. You’ll have the ability to keep track of up to 20 trailer profiles, letting you use various trailers without resetting your settings. This should let the vehicle give you more accurate range estimates, as the vehicle will be able to track your previous energy consumption when you used your trailer previously.
By creating multiple profiles, you can even account for different load types, such as transporting a car, boat, or lumbar.
This feature is expected to be available to all vehicles equipped with a tow hitch. Tow hitches are included on the Model S, Model X, and Cybertruck and as an option for the Model Y and some Model 3s.
Trailers normally have no way to record mileage, so this could be an extremely useful tool for owners to be able to see how much a trailer has been used. This could help indicate when new tires, new trailer brakes, or other relevant service may be required.
Prioritize Highways / Avoid Highways?
Navigation routing is expected to receive two additional preferences. The first one is “Prioritize Highways” - which, like its name, will likely prioritize the usage of highways whenever possible.
This is an interesting feature, as most people have been asking for the opposite - Avoid Highways, which Elon previously promised would make its way to Tesla vehicles soon. It’s not clear whether this is Tesla’s interpretation of an Avoid Highways option, where disabling this feature will try to avoid highways and prioritize backroad use.
Prioritize Time
The second feature is “Prioritize Time”. This one is interesting, as it likely will provide the option for drivers to have an optimized route for charging/efficiency, and a route that is more focused on spending less time on the road at the cost of using more energy.
While Tesla leverages Google’s API for features such as Points of Interest, reviews, photos, map tiles and satellite imagery, Tesla determines the vehicle’s route themselves. This lets them prioritize efficiency and calculate charging stops.
Alongside the arrival of FSD’s new Hurry Mode, this is going to give users more flexibility when driving.
When Do They Arrive?
These features aren’t available just yet, but their inclusion in production code likely points to them launching soon. However, the features could be in varying degrees of completion, from active development to dev complete and simply awaiting for Tesla to enable them remotely.
It’s possible we’ll see one or more of these features activated in the next couple of months.
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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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