News
Tesla fans call for recall terminology update, but the NHTSA isn’t convinced it’s needed
Tesla fans have been calling for an update in recall terminology ever since Over-the-Air updates became more popular in resolving vehicle issues. However, the NHTSA, the agency responsible for handling recalls and vehicle safety, is not convinced that it is needed.
The majority of Tesla’s vehicle recalls are performed through software remedies, which makes things complicated when it comes to headlines. Far too often, media outlets run with headlines like “Tesla recalls 2 million vehicles for safety issue,” when in reality, the issue is something small and fixable through a software update that downloads and is applied while the owner is asleep.
Fans are not the only ones calling for a terminology update. CEO Elon Musk is calling for one as well and has on several occasions.
‘Outdated & Inaccurate’
After a 2022 “recall” on over 1 million Teslas for a window issue, mainstream media pushed the narrative that 1 million EVs were in need of a major fix. In reality, the problem was remedied through a software download and update, and not a single car needed to go to a service center for repair.
“The terminology is outdated & inaccurate. This is a tiny over-the-air software update. To the best of our knowledge, there have been no injuries,” Musk said in response to the recall.
The terminology is outdated & inaccurate. This is a tiny over-the-air software update. To the best of our knowledge, there have been no injuries.
— Elon Musk (@elonmusk) September 22, 2022
More recently, a 2 million-vehicle recall was initiated by Tesla and the NHTSA to increase font size.
“On affected vehicles, the letter font size of the Brake, Park, and Antilock brake system (ABS) visual warning indicators is smaller than 3.2 mm (1/8 inch), as prescribed in FMVSS Nos. 105 and 135,” the NHTSA said in its 573 Safety Recall Report.
Tesla’s font size causes 2.2 million vehicle ‘recall’ that’s really just an OTA upate
The 2.2 million vehicles affected were given a software update, which was downloaded and applied to all vehicles. It increased the font size without anyone needing to physically take their cars to a showroom.
‘No difference to the safety risk posed by a defect’
From the NHTSA’s perspective, recall still fits the bill of anything from a steering wheel that falls off to the font size being a size too small.
Teslarati reached out to the agency last week, asking if there were any internal plans or discussions regarding the terminology of a recall. In reality, there are more companies than just Tesla that would benefit from an update in terminology.
Ford is another company that has used Over-the-Air updates to solve vehicle problems.
The NHTSA told us that any defect, big or small, fits the bill of a recall, and whether it can be resolved through software or through a physical repair makes no difference. It’s still a safety issue:
“Defects that pose an unreasonable risk to safety are serious and should be remedied as soon as possible. The Vehicle Safety Act requires manufacturers to issue recalls to remedy safety defects. Whether a remedy can be completed at a local dealership or through an over-the-air software update makes no difference to the safety risk posed by a defect.”
Recalls are an acknowledgment of a safety defect in a vehicle, and how they’re repaired does not play into the terminology used. Recalls are important because they alert a vehicle owner of an issue, and sometimes, the OTA update may not be successfully applied, or it could persist after the fix is sent through software.
Comparing Vehicle Recalls to Phone Updates
A common comparison used by people who oppose the use of the word “recall” to describe an OTA update is that of a smartphone update.
iPhones are common recipients of software updates, and you’ll see people online facetiously say, “My iPhone is getting recalled!”
The NHTSA does not see a comparison, considering vehicle safety defects can put lives at risk on the road. The driver is at risk if things are not fixed, and others can be put in harm’s way as well.
Unfortunately, those who disagree with the use of the word “recall” may have to deal with it. It does not seem that the NHTSA has any plans to update the terminology used because the medium of repair is not what a recall applies to. It is the issue itself.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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
