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Top 10 Tesla Cybertruck hidden features you may have missed
The Tesla Cybertruck is loaded to the teeth with technology that the vehicle is practically a mystery box of hidden features. Couple this with the fact that the vehicle’s unveiling did not really go as planned, as well as CEO Elon Musk pretty much rushing through the truck’s presentation following the pickup’s Armor Glass demo, and many of the Cybertruck’s noatbly cool features remained unsaid.
Fortunately, some of these hidden features have been spotted by the Tesla community, thanks to photographs and videos of the vehicle taken during the unveiling event, as well as images that were released by the electric car maker in the Cybertruck’s press kit. With this in mind, following are the Tesla Cybertruck’s Top 10 hidden features that may have been missed during last week’s unveiling event. Let’s dig in.
Center Fold-Down Front Seat Cup Holders and Storage Area
The Tesla Cybertruck is equipped with three seats on the front, though the middle acts more like a smaller jump seat. As could be seen in test ride videos of the vehicle, this middle seat actually folds down to become a large center armrest. Interestingly, this center armrest doubles as a storage compartment. It also has three cup holders that are fitted right at the middle seat’s back headrest, along with a spare change holder (aka “junk cubby”) for random knick knacks.
Interior Lighting Strip for Rear Seats
Despite its unapologetically futuristic, brutalistic exterior, the interior of the Tesla Cybertruck is actually quite welcoming. Upon entering the vehicle, passengers are greeted by a cavernous interior and a massive glass roof that would surely be a treat for those who love camping in their vehicle. The rear seats are also fitted with an interior lighting strip on the sides, providing illumination for the truck’s passengers at the back. The lights are white too, giving an additional futuristic, Tron-like flair for the Cybertruck’s exterior.
Sun Visor is Flush Against the A-Pillar
Among the clever features of the Cybertruck is its sun visor, which flushes against the A-Pillar. This would be particularly useful considering that the pickup has a massive windshield that may very well dwarf the Model X’s already-expansive windshield in sheer size.
Rear Armrest, Pass-Through for Extra-Long Cargo
The Tesla Cybertruck has a large center armrest in the rear that looks to double as support for extra-long cargo. The all-electric pickup is already equipped with a 6.5-foot bed, which is pretty substantial, but for those who wish to haul even lengthier cargo, the center armrest can fold down and act as a pass-through for items that exceed 6.5 feet.
Scroll Wheels on the Steering Wheel
The Tesla Cybertruck is fitted with a steering yoke that looks very similar to the one used by the company in its next-generation Roadster prototype. This would likely be changed into a regular steering wheel when the vehicle enters production, but based on test rides of the pickup, it appears that the Cybertruck will utilize Model 3-esque steering wheel controls, complete with the sedan’s scroll wheels.
Autopilot Camera in Fender
Similar to Tesla’s other prototypes like the next-generation Roadster or the Semi during its unveiling, the Cybertruck is not equipped with traditional side mirrors. Instead, the vehicle would likely use a pair of Autopilot cameras in its front fender. Considering existing regulations in regions such as the United States, there is a pretty good chance that the Cybertruck will be equipped with traditional side mirrors when it enters production.
L-Track Rails and T-Slots
The Cybertruck is fitted with L-track rails and T-slots that allow users to place anchor points anywhere in the vehicle’s expansive 6.5-foot bed. This is key to transporting items that may otherwise move about on the pickup’s bed during transport if they are not tied down. With these components in place, Tesla Cybertruck owners would be able carry even fragile items on the rear in a secure manner.
Flush Tonneau Truck Bed Cover Activation Buttons
The Tesla Cybertruck utilizes a motorized tonneau bed cover that can be engaged and disengaged by a flush button on the vehicle’s rear. These buttons, which are notably large and easy to reach, are found on both sides of the vehicle.
Hidden storage underneath vault bed
The Tesla Cybertruck is full of storage areas, one of which is found on the bottom of the vehicle’s 6.5-foot bed itself. Based on images provided by Tesla, this space appears to be large enough to store medium-sized items such as toolboxes and sleeping bags, for those extended outdoor trips.
Hidden storage in sail pillar
For those who wish to use the Cybertuck for work, the futuristic pickup truck is fitted with a hidden storage compartment in its sail pillar. Images of the space shown during a slide at the Cybertruck’s unveiling suggest that the storage areas in the vehicle’s sail may be enough to fit some tools or similarly-sized items.
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
