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Opinion: Tesla Autopilot NHTSA investigation headlines are out of control

Credit: Whole Mars Catalog/YouTube

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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. 

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. 

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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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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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Elon Musk

Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab

Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.

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During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.

Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”

Tesla Semi’s official battery capacity leaked by California regulators

The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.

A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.


Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.

The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.

It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.

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Investor's Corner

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.

This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.

Tesla Q2 2026 Earnings Results

  • Non-GAAP EPS – $0.33 reported vs. $0.53 expected
  • Revenues – $28.236 billion reported vs. $26.4 billion expected
  • Free Cash Flow- -$1.092B
  • Profit -$ 4.751B

Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.

Tesla shares closed today down just over 1 percent, trading at $374.01.

In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.

Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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Elon Musk

Tesla is about to make parking in busy lots less stressful than ever

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Tesla FSD 14.3 [Credit: TESLARATI)
Tesla FSD 14.3 [Credit: TESLARATI)

Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.

Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:

Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.

Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.

Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.

The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:

Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.

Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.

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