Tesla's Cybertruck is already going to get an improvement, according to the CEO. We’ve also discovered a few more new and interesting pieces of information about the stainless steel beast.
Enhanced Turning Radius and Maneuverability
One of many cool things about Cybertruck is the four-wheel turning. But it is not good enough, according the Elon Musk. Cybertruck boasts a 9% better turning radius than the Ford F-150 Lightning. This translates to a turning circle of 43.5 feet (12.5 meters), an impressive achievement considering the size and design of the electric pickup. But Musk says it will get even better.
We have further improvements in the works to tighten the turning circle significantly
This maneuverability is largely due to the Cybertruck's four-wheel steering system, allowing the rear wheels to rotate opposite to the front wheels at lower speeds. This feature is especially useful in tight spaces, such as job sites and crowded parking lots, making the Cybertruck more agile and easier to handle.
Four-Wheel Steering gives Cybertruck a tighter turning radius than a Model S
At low speeds, rear wheels rotate opposite to the front wheels—enabling tighter maneuvering around the jobsite, parking lots, etc pic.twitter.com/nxDiRTZKEI
The Cybertruck is rated with a towing capacity of 11,000 lbs. A unique feature of the Cybertruck is its hidden tow hitch, which is cleverly concealed behind a removable cover in the rear bumper. This cover, located under the license plate holder, can be easily removed by opening three bumper clips with a flat-head screwdriver, as demonstrated by @VoyageATXBen. This design choice not only enhances the vehicle's aesthetic but also adds an element of surprise and sophistication to the truck's functionality.
Cybertruck also features an enhanced off-road mode, giving drivers more precise control over the vehicle's speed, offering MPH readings in 0.5 increments. Posted on X by @itskyleconner, this level of granularity is particularly beneficial for navigating challenging off-road terrains, ensuring a smoother and more controlled driving experience.
In off-road mode Cybertruck gives you MPH in .5 level of granularity
Cybertruck's owner's manual has been shared online, offering detailed specifications and information about the electric pickup. This manual, featured in a video by T Sportline, is based on software version 2023.44.9 and includes a full table of contents. The video, described by the person who posted it as the world’s most boring video, scrolls through the entire Cybertruck manual. We didn’t see anything we didn’t already know, but if you spot something, let us know.
Since the delivery event, Cybertruck has dominated the EV headlines. While Cybertruck is now on the road, it is still a rare sight to see. That’s why these updates provided by the Tesla community, demonstrating interesting and cool things about this new vehicle, continue to generate excitement. For those million-plus holding a reservation, this is the closest we will get to our own Cybertruck for now.
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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.
