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Opinion: Tesla Autopilot NHTSA investigation headlines are out of control
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.
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.
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.
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.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
