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Tesla posts stern response to Washington Post’s article on alleged Autopilot dangers
Tesla has posted a stern response to a recent article from The Washington Post that suggested that the electric vehicle maker is putting people at risk because it allows systems like Autopilot to be deployed in areas that it was not designed for. The publication noted that it was able to identify about 40 fatal or serious crashes since 2016, and at least eight of them happened in roads where Autopilot was not designed to be used in the first place.
Overall, the Washington Post article argued that while Tesla does inform drivers that they are responsible for their vehicles while Autopilot is engaged, the company is nonetheless also at fault since it allows its driver-assist system to be deployed irresponsibly. “Even though the company has the technical ability to limit Autopilot’s availability by geography, it has taken few definitive steps to restrict use of the software,” the article read.
In its response, which was posted through its official account on X, Tesla highlighted that it is very serious about keeping both its customers and pedestrians safe. The company noted that the data is clear about the fact that systems like Autopilot, when used safety, drastically reduce the number of accidents on the road. The company also reiterated the fact that features like Traffic Aware Cruise Control are Level 2 systems, which require constant supervision from the driver.
Following is the pertinent section of Tesla’s response.
While there are many articles that do not accurately convey the nature of our safety systems, the recent Washington Post article is particularly egregious in its misstatements and lack of relevant context.
We at Tesla believe that we have a moral obligation to continue improving our already best-in-class safety systems. At the same time, we also believe it is morally indefensible not to make these systems available to a wider set of consumers, given the incontrovertible data that shows it is saving lives and preventing injury.
Regulators around the globe have a duty to protect consumers, and the Tesla team looks forward to continuing our work with them towards our common goal of eliminating as many deaths and injuries as possible on our roadways.
Below are some important facts, context and background.
Background
1. Safety metrics are emphatically stronger when Autopilot is engaged than when not engaged.
a. In the 4th quarter of 2022, we recorded one crash for every 4.85 million miles driven in which drivers were using Autopilot technology. For drivers who were not using Autopilot technology, we recorded one crash for every 1.40 million miles driven. By comparison, the most recent data available from NHTSA and FHWA (from 2021) shows that in the United States there was an automobile crash approximately every 652,000 miles.
b. The data is clear: The more automation technology offered to support the driver, the safer the driver and other road users. Anecdotes from the WaPo article come from plaintiff attorneys—cases involving significant driver misuse—and are not a substitute for rigorous analysis and billions of miles of data.
c. Recent Data continues this trend and is even more compelling. Autopilot is ~10X safer than US average and ~5X safer than a Tesla with no AP tech enabled. More detailed information will be publicly available in the near future.
2. Autopilot features, including Traffic-Aware Cruise Control and Autosteer, are SAE Level 2 driver-assist systems, meaning –
a. Whether the driver chooses to engage Autosteer or not, the driver is in control of the vehicle at all times. The driver is notified of this responsibility, consents, agrees to monitor the driving assistance, and can disengage anytime.
b. Despite the driver being responsible for control for the vehicle, Tesla has a number of additional safety measures designed to monitor that drivers engage in active driver supervision, including torque-based and camera-based monitoring. We have continued to make progress in improving these monitoring systems to reduce misuse.
c. Based on the above, among other factors, the data strongly indicates our customers are far safer by having the choice to decide when it is appropriate to engage Autopilot features. When used properly, it provides safety benefits on all road classes.
Tesla also provided some context about some of the crashes that were highlighted by The Washington Post. As per the electric vehicle maker, the incidents that the publication cited involved drivers who were not using Autopilot correctly. The publication, therefore, omitted several important facts when it was framing its narrative around Autopilot’s alleged risks, Tesla argued.
Following is the pertinent section of Tesla’s response.
The Washington Post leverages instances of driver misuse of the Autopilot driver assist feature to suggest the system is the problem. The article got it wrong, misreporting what’s actually alleged in the pending lawsuit and omitting several important facts:
1. Contrary to the Post article, the Complaint doesn’t reference complacency or Operational Design Domain.
2. Instead, the Complaint acknowledges the harms of driver inattention, misuse, and negligence.
3. Mr. Angulo and the parents of Ms. Benavides who tragically died in the crash, first sued the Tesla driver—and settled with him—before ever pursuing a claim against Tesla.
4. The Benavides lawsuit alleges the Tesla driver “carelessly and/or recklessly” “drove through the intersection…ignoring the controlling stop sign and traffic signal.”
5. The Tesla driver didn’t blame Tesla, didn’t sue Tesla, didn’t try to get Tesla to pay on his behalf. He took responsibility.
6. The Post had the driver’s statements to police and reports that he said he was “driving on cruise.” They omit that he also admitted to police “I expect to be the driver and be responsible for this.”
7. The driver later testified in the litigation he knew Autopilot didn’t make the car self-driving and he was the driver, contrary to the Post and Angulo claims that he was mislead, over-reliant or complacent. He readily and repeatedly admitted:
a. “I was highly aware that was still my responsibility to operate the vehicle safely.”
b. He agreed it was his “responsibility as the driver of the vehicle, even with Autopilot activated, to drive safely and be in control of the vehicle at all times.”
c. “I would say specifically I was aware that the car was my responsibility. I didn’t read all these statements and passages, but I’m aware the car was my responsibility.”
8. The Post also failed to disclose that Autopilot restricted the vehicle’s speed to 45 mph (the speed limit) based on the road type, but the driver was pressing the accelerator to maintain 60 mph when he ran the stop sign and caused the crash. The car displayed an alert to the driver that, because he was overriding Autopilot with the accelerator, “Cruise control will not brake.”
While there are many articles that do not accurately convey the nature of our safety systems, the recent Washington Post article is particularly egregious in its misstatements and lack of relevant context.
We at Tesla believe that we have a moral obligation to continue…
— Tesla (@Tesla) December 12, 2023
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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
