News
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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Elon Musk
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
Investor's Corner
SpaceX makes $20 billion move to optimize its balance sheet
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
Elon Musk
SpaceX confirms third massive compute deal at Colossus data center
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.