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Tesla is releasing a 'Plaid' Cybertruck, and it's a Ford F-150 Raptor Killer
In what seems to be the automotive equivalent of a brazen act intended to show dominance, Elon Musk has announced on Twitter that Tesla will be releasing a “Plaid” version of the Cybertruck. Musk did not provide further details in his tweet, though there is little doubt that the feature will make the already daunting Tri-Motor pickup into something downright scary for its fossil fuel-powered rivals like the Ford F-150 Raptor.
Elon Musk’s Plaid Cybertruck revelation was shared on Twitter late Wednesday. While responding to Tesla owner-enthusiast and Third Row Podcast member Sofiaan Fraval, Musk stated that he would be driving a Plaid version of the all-electric pickup truck for personal use. This came as a pleasant surprise to the EV community, especially since this is the first time that such a version of the Cybertruck has been mentioned.
Elon Musk has mentioned in the past that the Tesla Cybertruck will have the handling and performance of a sports car, and this was highlighted during the vehicle’s unveiling event. Apart from showcasing its strength by having the hulking all-electric pickup pull a Ford F-150 like a rag doll, Tesla also featured the Cybertruck drag racing a Porsche 911, and crushing the iconic sports car in the process. These are bold demonstrations, and each was met with equal parts excitement and skepticism from the auto community.
While the sight of the Cybertruck beating a Porsche 911 in a straight line race was undoubtedly impressive, the feat itself can be explained by the specs of the top-of-the-line all-electric pickup. Tesla lists the Tri-Motor Cybertruck with a 0-60 mph time of 2.9 seconds despite its large size. That’s well within supercar territory, and quicker than the Model 3 Performance and Model Y Performance, both of which are considered by enthusiasts as legitimate canyon carvers.
Interestingly enough, Elon Musk did not reveal if the 2.9-second 0-60 mph time announced for the Tri-Motor Cybertruck simply involves its raw acceleration, or if such time is possible only with the use of a dedicated “Plaid Mode” launch. If it’s the former, then the Cybertruck’s fastest trim may very well be even quicker than expected. That’s a pretty crazy thought, and it could lead some to speculate if a Plaid version of the all-electric pickup is even needed. The short answer to this is a definite “yes.”
The pickup truck market is no longer only about utility. It is also about performance. This is the reason why the Ford F-150 Raptor, a bear of an off-roader that can accelerate from 0-60 mph in 5.1 seconds, has become the poster boy of the modern pickup. The truck market is notoriously brand-loyal, so any new challengers to the segment would have to bring their best just to be recognized. The Cybertruck’s Plaid version does this job perfectly.
Teslas are known for their tech and their crazy acceleration, with cars like the flagship Model S being known to shame supercars left and right on the drag strip. The Cybertruck is the same, and with three motors at its disposal, there is little doubt that Tesla can make it into a pickup truck that can actually dominate segment leaders like the Ford F-150 Raptor in sheer performance. When the Plaid Cybertruck starts deliveries, videos of the vehicle crushing Raptors left and right in on and off-road races will probably be quite common.
Such sights are exactly what the electric car movement needs. While the EV movement has spread in the sedan segment with cars like the Tesla Model 3, and its reach into the SUV market is increasing with vehicles like the Model Y and the Rivian R1S, the pickup market is still dominated by intimidating, gas-guzzling trucks. The Plaid Cybertruck could change all that, provided that Tesla is up to the task.
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
