A Tesla owner recently shared a theory on factors that might have led up to the fatal Model X accident near Mountain View, CA, on March 23. Driving on the same stretch of road on Autopilot, the Tesla owner observed that there were deviations on the street’s markings and repair cuts — things which might have caused the electric car’s sensors to misread the highway’s lanes.
The 36-second clip was uploaded and shared on YouTube by Privater, who included annotations to the video highlighting his observations. At the 0:05-second mark on the clip, the Tesla owner noted that the markings on the road deviated from their original line due to the beginning of a repair cut. Further into the street (0:12 into the clip), Privater noted that the repair cuts in the road became very prominent. This could have confused Autopilot into thinking that it was a lane, especially under the direct glare of the sun.
As the barrier where the fatal Model X accident took place in came into view (0:23 into the video), Privater noted that the section of the road leading up to the crash cushion was marked by solid white lines. As could be seen in the Tesla owner’s clip, the lines were almost wide enough to be a lane, which could have also been misread by Autopilot.
The Tesla owner noted that he had been driving on the same stretch of road on Autopilot for almost two years. During that time, Privater stated that his car had misread the road marks and nearly collided with the crash cushion once or twice. He described his experiences as a response to a comment on his YouTube video.

A Tesla owner suggests a possible explanation for the fatal Model X accident on March 23, 2018. [Credit: Privater/YouTube]
“On the video, my car is on Autopilot. I drive the same section for nearly two years, (and) 99.9% of (the) time, I’m on Autopilot. However, this kind of error only happened to me once or twice. It’s scary enough for me to keep high alert on this intersection,” he wrote.
In an update to its first statement about the fatal Model X accident, Tesla confirmed that the ill-fated electric SUV was on Autopilot when it collided with the highway barrier. According to Tesla, the Model X driver had received several visual warnings and one audible hands-on warning earlier during the drive. The ill-fated electric SUV’s driver had also not placed his hands on the steering wheel for 6 seconds before the fatal accident. Overall, the Model X driver had about 5 seconds and 150 meters of unobstructed view to steer the car away from the highway divider before the collision occurred.
In a statement to Reuters, NTSB spokesman Chris O’Neil expressed the agency’s disagreement about the Elon Musk-led company’s decision to release information about the investigation to the public.
“The agency needs the cooperation of Tesla to decode the data the vehicle recorded. In each of our investigations involving a Tesla vehicle, Tesla has been extremely cooperative on assisting with the vehicle data. However, the NTSB is unhappy with the release of investigative information by Tesla,” O’Neil said.
As we noted in a previous report, the Model X crash was so severe because a crash attenuator, a highway safety device designed to absorb the impact of a colliding vehicle, had not been repaired by CalTrans since a 2010 Toyota Prius smashed into the safety device 11 days before the Tesla accident. In a statement to ABC7 News, Caltrans stated that the standard timeline for a crash attenuator’s repair is 7 days or 5 business days after an accident. The safety device’s repairs were delayed, however, due to storms in the area.
Watch Privater’s Autopilot drive-by in the video below.
Elon Musk
Tesla owners surpass 8 billion miles driven on FSD Supervised
Tesla shared the milestone as adoption of the system accelerates across several markets.
Tesla owners have now driven more than 8 billion miles using Full Self-Driving Supervised, as per a new update from the electric vehicle maker’s official X account.
Tesla shared the milestone as adoption of the system accelerates across several markets.
“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.
As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.
During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.
Elon Musk
The Boring Company’s Music City Loop gains unanimous approval
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project.
The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown.
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.
Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.
The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post.
Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.
“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said.
The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.
Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”
Elon Musk
Tesla announces crazy new Full Self-Driving milestone
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.
The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.
On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.
Tesla owners have now driven >8 billion miles on FSD Supervisedhttps://t.co/0d66ihRQTa pic.twitter.com/TXz9DqOQ8q
— Tesla (@Tesla) February 18, 2026
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.
Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.
Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.
This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.
The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.