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Tesla Cybertruck isn’t better than 1949 technology when it comes to off-roading, says popular Trucking channel
The Tesla Cybertruck is, without a doubt, one of the most discussed vehicles in recent memory. The pickup’s polarizing and robust design has vehicle fanatics raving about the possibility of changing the tune of the American truck market today. In a recently published video from The Fast Lane Car YouTube channel, the team discussed why they believe the Cybertruck will fail to be an effective mode of off-road transportation. They highlight its heavy-weight and low-body design as two of the reasons it will fall short of impressively navigating through rocks and trails.
“If you look at what you need for off-road ability, you need ground clearance, you need gearing, you need articulation, you need underbody protection, right?” The trucking experts add, “If you look at the off-road tech, the stuff that you needed back in 1949 is the stuff you still need in 2020-2021.”
Typically, offroading vehicles that find success in challenging terrain have short wheelbase are lightweight and tend to told hold higher-than-normal ground clearances that assist in traveling over sharp crests on trails. TFL’s Tommy Mica highlights these attributes during the video, stating that an offroading vehicle’s biggest enemy is weight.
“Just like on-road, the enemy to off-road is weight. The lighter the weight, the easier it is to crawl up obstacles to maneuver difficult situations. The Cybertruck is going to be huge and is going to be monstrously heavy,” Mica says.
While it is ideal to have a lighter vehicle for offroading situations, that does not mean a heavy car will have issues 100% of the time. In fact, there are many vehicles that hold a weight that is similar to the Cybertruck’s estimated 5,000-6,500 pound curb rating. One is the 2019 Ford F-150 Raptor, a truck that was recognized by Popular Mechanics as one of the top 12 best off-road vehicles available. Weighing in at over 5,500 pounds, the Raptor has been spotted climbing intimidating stretches of steep offroading trails without much of an issue.
Additionally, Mica states that the Cybertruck’s low ground clearance will inhibit the vehicle’s ability to navigate over steep land grades and sharp objects on a trail. However, the Cybertruck’s 16″ ground clearance is higher than the 8.7″ measurement of the top-ranked 2019 Ram 1500 Rebel from Dodge and the previously mentioned F-150 Raptor’s 11.5″ clearance.
TFL tested a Long-Range configuration of the Model X in its off-road tests. Citing a diminished loss of range due to increased power usage, and increased worry over puncturing the vehicles underbody battery pack made their experience not-so-memorable. However, the Model X was never aimed toward off-road performance specifically. While the electric SUV does have traction control capabilities that have performed well on off-road courses in the past, the Model X was not meant for navigating through vicious trails of rocks, branches, and uneven terrain.
Even so, using the Model X’s performance as an off-road vehicle as the basis to prove the Cybertruck’s inability to function on trails just seems silly. The two cars maintain entirely different packages. Comparing a Ford Escape’s off-road performance to the F-150 Raptor’s wouldn’t be justifiable either, as the two vehicles are completely different and aimed toward different functions.
Besides, Tesla CEO Elon Musk has stated that the Cybertruck’s size and dimensions are not finalized. In early December 2019, Musk said the width and length would both be revised to fit inside a residential garage. “We can prob reduce width by an inch & maybe reduce length by 6+ inches without losing on utility or aesthetics,” Musk said.
The Cybertruck’s off-road performance won’t be solidified until the release of its Dual and Tri motor variants in 2021. However, there is plenty of evidence to suggest that the electric truck will be more than capable of holding its own in tight terrain, especially considering its most powerful variant packs a tremendous punch.
Watch The Fast Lane Car’s video mentioning the Cybertruck’s offroading ability below.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
