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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 introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
