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Tesla gets nod from Rivian CEO for combating ‘untruths’ about electric vehicles
The long, arduous road that Tesla traveled over the past years was recently acknowledged by RJ Scaringe, the 35-year-old CEO of electric vehicle maker Rivian. During a fireside chat at the Automotive News World Congress, Scaringe noted that his 10-year-old company aims to do to pickup trucks and off-road-capable SUVs what Tesla did to the performance and premium automotive segments. That is, he wants Rivian to disprove any untruths that are currently prevalent in the truck and SUV industry.
“I think any great brand … to build a brand that customers are going to be excited about and that customers are going to want to be part of, it has to fundamentally reset expectations. It has to disprove untruths. Tesla took the untruth that electric cars were boring and slow — that they were glorified golf carts — and they disproved that. They showed people that an electric car can be exciting and fun. What we need to disprove is that an electric vehicle can’t get dirty, and that an electric vehicle can’t be rugged, and an electric vehicle can’t go off-road and take your family places, and that an off-road vehicle can’t be good on-road,” he said.
Rivian’s first two vehicles, the R1T pickup truck and the R1S SUV, seem perfectly capable of playing the part. Rivian impressed the EV community and the auto industry when it emerged after 10 years of operating on stealth mode. Both vehicles are well-rounded and refined, created through years of work by a team that included alumni from McLaren (yes, that McLaren). Both have four electric motors that provide immense power and torque, both offer range of over 400 miles per charge, and both are built with intelligent driver-assist features that can transition into full self-driving in the future. During the R1T’s unveiling last November at the historic Griffith Observatory in Los Angeles, Rivian’s intentions of tapping into the premium EV market were evident.
During his recent fireside chat, Scaringe mentioned that the market Rivian is going for are people who own adventure vehicles and luxury vehicles. In a later statement, Scaringe expressed a point related by Elon Musk during the days of the original Roadster, when he noted that the small, two-door high-performance sports car should perform on the same level as the best fossil fuel-powered cars around. For Scaringe, this same point stands true for the R1T and the R1S.
“We want to get the guy who already has a Range Rover sitting next to a Tesla [in the garage], or the [Jeep] Wrangler sitting next to the [BMW] i3, and grab them with something that was just completely different than what they thought was possible. It will be the best-driving truck or SUV in the world. It must be, because if it’s not, why would somebody pick us over a Ford or over a BMW?” he said.
For now, though, Scaringe noted that Rivian is determined to learn from the experiences of companies like Tesla, while integrating concepts from established automakers such as GM and Toyota. With the successful unveiling of its first vehicles, after all, Rivian is about to tackle one of the hardest parts of being an automaker — actually building cars.
“We do recognize the complexity of assembling and putting vehicles together, of managing a very complex supply chain and logistics network, and we’re very [cognizant] of the nuts and bolts, and of the need to follow a proper process to ensure that, when we launch the vehicle, it can be launched with as few problems, errors, and challenges as possible,” Scaringe said.
When Elon Musk wrote his Master Plan Part Deux, he openly admitted that it is very difficult to become successful in the United States’ auto market. Considering the number of automakers that have gone under, Musk lightly noted that starting a car company is downright idiotic, and starting an electric car company is “idiocy squared.” As foolhardy as the venture might have been, though, Tesla has thrived, driven by an ever-increasing demand for its premium electric cars and energy storage products. The Model 3, the company’s most affordable vehicle to date, has been making a dent in the US’ auto market, becoming the overall best-selling luxury car in the country last year.
It has not been easy for the Silicon Valley-bred carmaker. The Model 3 ramp, for one, is described by Elon Musk as one of the most difficult periods of his career. Musk bet Tesla’s future in the electric sedan, and it took longer than expected to reach the company’s self-imposed production targets. Nevertheless, since hitting its goal of producing 5,000 Model 3 per week at the end of Q2 2018, Tesla has steadily improved its footing with the electric car’s production. In Q3 2018, Tesla even posted a profit. The fourth quarter of 2018 might be just as successful.
If Rivian’s strategy so far is any indication, though, the company stands a good chance of avoiding some of the challenges faced by Tesla during the ramps of the original Roadster, the Model S, X, and 3. Rivian, for one, has already secured a facility in Normal, Ill. The company is also working closely on the development of its vehicles’ battery packs. Apart from this, Rivian is also consulting the veterans of the auto industry. In his recent appearance at Autoline After Hours, for one, auto teardown specialist Sandy Munro, who conducted a thorough analysis of the Tesla Model 3, mentioned that Rivian is one of his firm’s clients.
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
