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Opinion: Tesla Autopilot NHTSA investigation headlines are out of control

Credit: Whole Mars Catalog/YouTube

Published

5 years ago

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There is a difference between slant and straight-up inaccuracy. Slant is unavoidable as it typically relies on a writer’s personal biases. Making connections that could be immediately debunked with the slightest modicum of research, however, is completely avoidable. This was exactly the case on Monday as a wave of negative Tesla news emerged following an announcement that the NHTSA is launching a formal investigation on Autopilot over 11 incidents that involved Teslas crashing into parked emergency vehicles. 

The NHTSA Investigation

The NHTSA’s ODI Resume was very brief and direct. And while the agency did state that it would be evaluating Autopilot for Model S, Model 3, Model X, and Model Y from model year 2014 to 2021, the NHTSA did note that its investigation would involve 11 incidents in the United States. These incidents resulted in 17 injuries and one fatality. 

NHTSA launches Tesla Autopilot investigation over crashes with emergency vehicles

Tesla prides itself on being a company that focuses intently on the safety of its vehicles, and in this light, investigations that would make systems like Autopilot ultimately safer for the general public would likely be welcomed by the company. Elon Musk, after all, has posted in the past that he agrees with the NHTSA “99.9% of the time.” The Tesla CEO has also specified on Twitter that he thinks the “NHTSA is great.” 

If one were to look at the coverage of the investigation in some mainstream media outlets, however, one would think that things are far more dire. 

The Coverage and Missing Details

It is true that negative stories attract more eyeballs. This is something that has been true even before the days of online journalism. And in this landscape, a company led by a rebel CEO that no longer issues comments on issues is the perfect target. This could be seen in the headlines that immediately followed the NHTSA” s announcement. CNN’s headline, “Tesla is under investigation because its cars can’t stop hitting emergency vehicles,” is a great example of this. It’s sensationalist and it suggests that the issue being investigated by the NHTSA is something extremely grave. And this is just one outlet. 

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Other news outlets such as CNBC proceeded to feature Ford former Co-CEO Mark Fields, who proceeded to highlight that the NHTSA’s investigation covers Teslas from a large time period. Persistent Tesla bears were also featured for their take on the news despite their past accuracy on the EV maker. 

Interestingly enough, one of the things that were not mentioned much (if at all) in the general coverage of the NHTSA Autopilot investigation was the state of the drivers in some of the incidents. As aggregated by some Tesla watchers online, a good number of the drivers in the 11 crashes were hardly the most attentive. Two incidents were deemed as DUI cases, for example, and one driver had a suspended license. Four cases involved driver inattention, with one incident having a driver who did not have their hands on the wheel for 3 minutes 41 seconds. The other four incidents have no police report readily available. 

An Unrelated Incident

On the same day as the NHTSA announced its investigation, a Tesla Model 3 was involved in a car crash at a school parking lot in the UK, injuring six people. It did not take long before Reuters, citing a report from The Telegraph, ran with a headline which read “Six injured as self-driving Tesla crashes in school car park in Southern England – Telegraph.” Such a headline immediately raised red flags, the first being that no Teslas owned by consumers today are “self-driving” cars per se. They have advanced driver-assist features, but those still require constant attention. 

This headline grabbed a lot of attention — that much was no surprise. What was unfortunate was that as it became clear that the Tesla involved in the incident could not be a “self-driving” car, Reuters proceeded to issue a retraction on the article, stating that it had updated the story to correct the headline and drop the “self-driving” reference. The publication, however, kept a section of the article which still stated that it remained to be seen if the Tesla that injured six people had a driver behind the wheel at the time of the incident. 

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The Perfect Target

Tesla is no stranger to negative reporting, and that’s to be expected. Some negative slant from a reporter covering news about the company is pretty understandable, after all. However, it becomes a bit more difficult to justify errors such as those committed by Reuters about the UK incident. Even a little research on the features of a Model 3 in Europe would show that there are no “self-driving” Teslas right now, after all, and narratives which seem to hint at rogue electric cars are ultimately just as fantastical as they are inaccurate. 

This may not be Tesla’s first rodeo with false news, but it’s not like there is nothing that could be done. Tesla China, for example, has adopted an assertive external relations and legal campaign that pursues false reporting on Giga Shanghai, and it has worked to great effect. Whether a similar strategy would work in the United States is up for question, but there seems to be few reasons remaining why Tesla should just allow itself to be a punching bag for misinformation without even airing its side. 

Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla responds to Robotaxi skeptics with a massive move in Austin

Published

57 minutes ago

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June 3, 2026

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Credit: @AdanGuajardo/X

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:

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 expands Robotaxi geofence, but not the garage

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.

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Tesla improves Dashcam playback with awesome addition

Published

20 hours ago

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June 2, 2026

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Image Credit: The Kilowatts/Twitter

Tesla has improved Dashcam playback with an awesome new addition, as the company has launched a web-based version that is potentially easier to navigate and operate.

The tool is available at dashcam.tesla.com and will be enabled as your vehicle receives the 2026.20 Software Version. Clips that are captured by your Tesla will be available on the Online Dashcam Clip Viewer once the files on your car’s storage drive are encrypted.

Not a Tesla App first noticed the new feature, and states that once your Tesla updates to 2026.20, the car will automatically protect the clips with an encryption key that is uniquely tied to your owner account.

The web-based viewer should be easier to operate for most. All you will do is head over to dashcam.tesla.com and log in using your account credentials.

Ensure your vehicle is updated to 2026.20 in order for the web-based viewer tool to fetch your vehicle’s saved dashcam clips.

Currently, only a small percentage of owners are updated to this, so it may be a couple of weeks until a majority of owners in the fleet are able to access this feature.

Watching Dashcam clips on the Tesla smartphone app is quick and convenient, as they can also be easily downloaded and stored right on your smartphone.

However, the clips are sometimes tougher to navigate, and in order to get details like self-driving activation, speed, and turn signals, owners have to screen record the Tesla app and crop out the rest of the screen.

It could also be a massive storage saver as you’ll be able to download the Dashcam clips from the online viewer and save them to your laptop, desktop, a flash drive, or even an external hard drive. This will keep all your clips in one place.

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Tesla Full Self-Driving attempts 150-mile stress test: the good and the bad

Published

23 hours ago

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June 2, 2026

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Credit: TESLARATI

I recently took my Tesla Model Y running Full Self-Driving (Supervised) v14.3.3 over 150 miles on the Pennsylvania Turnpike in an effort to truly put the system under a stress test. There were a lot of good moments, and some bad, but overall, Full Self-Driving impressed me.

Last Thursday, I decided it was time to visit the Flight 93 National Memorial near Shanksville, PA. I go a few times a year, and it was a beautiful day. Others have taken some pretty lengthy drives using FSD, but I haven’t had the opportunity to really do something lengthy in quite a few months on an older version. I decided it was the perfect opportunity to try some things out.

I recorded the entire ride there on a GoPro, edited to highlight the crucial moments, and shared them on our social media accounts. If you want to watch them, I’ll share them throughout the piece, but I did not get to do a real breakdown of what I felt about its performance.

Overall Thoughts

I realize it is probably better to do a summation of its performance toward the end of the piece, but I feel like it is also reasonable to lead with this because I was overly impressed with how well it handled everything. The only moments where I felt a little bit of reason to touch the wheel, at least while traveling on the Turnpike and Rt. 30, were due to other drivers and their behaviors.

I have taken many drives to the Memorial over the past several years, and although it’s not incredibly long, it is a tiring drive. It’s about five hours both ways, close to 300 miles, and I think most of the exhaustion comes from the toll of sitting in the car and then visiting something that is pretty heavy to take in.

This was the first time I’ve ever taken the ride and not felt like I needed to avoid my vehicle after I got home. In the past, I could not even think about driving after I finally arrived at my house, but this was simply different.

It was nice to have something else take the drive for me, while I still had the freedom to take over if I chose to. It made the entire trip more enjoyable.

Full Self-Driving Recognizes Lane-Ending Arrows on Road

After traveling in the fast lane for a little while, FSD noticed the arrows on the road indicating the lane was coming to an end ahead. The car was also in the process of making a pass on a slower vehicle in the middle lane, but aborted this maneuver and backed off to get behind the vehicle.

I was really impressed by this because I thought that the car would absolutely try to make the pass, only to get in front of the other car, and then slow back down to 75 MPH:

Full Self-Driving Notices Veering Tractor Trailer, Adjusts Lane Positioning

My two rules of the road are never cruise in the fast lane and never drive next to a tractor-trailer. This clip is a perfect example as to why.

FSD v14.3.3 recognized this tractor-trailer attempting to change lanes while we were still next to it. The car shifted its lane positioning to the shoulder slightly to make room for the merging semi, executed the pass safely, and on we went.

I will admit this one made me a little nervous, but more so because of the 18-wheeler, and not because of the Tesla:

Full Self-Driving Follows the Rules of Tunnel Travel

Many people who are not familiar with Full Self-Driving and its capabilities are pretty limited in what they know about the really simple things it does well. Part of supervising FSD is being aware of things it might make mistakes with, and anticipating maneuvers it might want to make at the wrong time.

Entering the Blue Mountain Tunnel on the Turnpike, I was ready for FSD to attempt to get back into the right lane after making a pass on a tractor-trailer, but I was pleasantly surprised. Several signs outside the tunnel advise drivers to stay in the lane they’ve chosen while driving through the tunnel; this eliminates the possibility of an accident caused by lane changes, which would impede traffic on a crucial logistics route.

I was happy to see that Tesla Full Self-Driving v14.3.3 did not make this mistake:

Full Self-Driving Navigates Toll Plazas with Ease

I was interested to see how FSD would handle toll plazas, including the speed at which it would travel through them, and whether it would stop on the Turnpike at these booths, which have since been transitioned to a “Toll by Plate” system, which mails you a bill.

It was flawless:

Full Self-Driving Still Struggles with Parking from Time to Time

Since I took delivery in late August, I’ve never had a single instance of my Tesla struggling to park at a Supercharger. Other spots at the mall, market, or gym are another story.

This was the first time it did such a terrible job of backing into a spot. This required me to take over and manually park at another charger:

Full Self-Driving Gets Confused After Arriving at Its Destination

This was the first time I have ever experienced FSD getting confused and just circling the lot. The navigation continued to reroute to try to resolve the issue, but after four laps, I decided it was time to overtake the car’s controls and park manually:

This was a baffling behavior that I truly couldn’t explain. Other owners communicated that they have also experienced this issue.

Final Thoughts

I am so incredibly impressed by FSD that it has really made traveling stress-free. The two issues related to parking were not ideal, but to be fair, I usually take over when arriving at parking lots. However, this shortcoming is something Tesla has to make some serious progress with, because parking has truly stumped FSD at times.

Solving that will be a major breakthrough for autonomy, but Tesla has struggled with it for some time.

All in all, FSD v14.3.3 is unbelievably accurate and handles many of the more stressful maneuvers with ease, one of them being avoiding merging traffic on highways, which was shown above.

Some things that would be great to see improvements on are parking, Speed Profiles, which are relatively tough to adjust (I stayed in Standard for the duration of this drive), and, of course, navigation.

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