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.
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Ford is charging for a basic EV feature on the Mustang Mach-E
When ordering a new Ford Mustang Mach-E, you’ll now be hit with an additional fee for one basic EV feature: the frunk.
Ford is charging an additional fee for a basic EV feature on its Mustang Mach-E, its most popular electric vehicle offering.
Ford has shuttered its initial Model e program, but is venturing into a more controlled and refined effort, and it is abandoning the F-150 Lightning in favor of a new pickup that is currently under design, but appears to have some favorable features.
However, ordering a new Mustang Mach-E now comes with an additional fee for one basic EV feature: the frunk.
The frunk is the front trunk, and due to the lack of a large engine in the front of an electric vehicle, OEMs are able to offer additional storage space under the hood. There’s one problem, though, and that is that companies appear to be recognizing that they can remove it for free while offering the function for a fee.
Ford is now charging $495 on the Mustang Mach-E frunk (front trunk). What are your thoughts on that? pic.twitter.com/EOzZe3z9ZQ
— Alan of TesCalendar 📆⚡️ (@TesCalendar1) February 24, 2026
Ford is charging $495 for the frunk.
Interestingly, the frunk size varies by vehicle, but the Mustang Mach-E features a 4.7 to 4.8 cubic-foot-sized frunk, which measures approximately 9 inches deep, 26 inches wide, and 14 inches high.
When the vehicle was first released, Ford marketed the frunk as the ultimate tailgating feature, showing it off as a perfect place to store and serve cold shrimp cocktail.
Ford Mach-E frunk is perfect for chowders and chicken wings, and we’re not even joking
It appears the decision to charge for what is a simple advantage of an EV is not going over well, as even Ford loyal customers say the frunk is a “basic expectation” of an EV. Without it, it seems as if fans feel the company is nickel-and-diming its customers.
It will be pretty interesting to see the Mach-E without a frunk, and while it should not be enough to turn people away from potentially buying the vehicle, it seems the decision to add an additional charge to include one will definitely annoy some customers.
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Tesla to improve one of its best features, coding shows
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Tesla is looking to upgrade its Matrix Headlights, a unique and high-tech feature that is available on several of its vehicles. The headlights aim to maximize visibility for Tesla drivers while being considerate of oncoming traffic.
The Matrix Headlights Tesla offers utilize dimming of individual light pixels to ensure that visibility stays high for those behind the wheel, while also being considerate of other cars by decreasing the brightness in areas where other cars are traveling.
Here’s what they look like in action:
- Credit: u/ObjectiveScratch | Reddit
- Credit: u/ObjectiveScratch | Reddit
As you can see, the Matrix headlight system intentionally dims the area where oncoming cars would be impacted by high beams. This keeps visibility at a maximum for everyone on the road, including those who could be hit with bright lights in their eyes.
There are still a handful of complaints from owners, however, but Tesla appears to be looking to resolve these with the coming updates in a Software Version that is currently labeled 2026.2.xxx. The coding was spotted by X user BERKANT:
🚨 Tesla is quietly upgrading Matrix headlights.
Software https://t.co/pXEklQiXSq reveals a hidden feature:
matrix_two_stage_reflection_dip
This is a major step beyond current adaptive high beams.
What it means:
• The car detects highly reflective objects
Road signs,… pic.twitter.com/m5UpQJFA2n— BERKANT (@Tesla_NL_TR) February 24, 2026
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Finally, the new system will prevent the high beams from glaring back at the driver. The system is made to dim when it recognizes oncoming cars, but not necessarily objects that could produce glaring issues back at the driver.
Tesla’s revolutionary Matrix headlights are coming to the U.S.
This upgrade is software-focused, so there will not need to be any physical changes or upgrades made to Tesla vehicles that utilize the Matrix headlights currently.
Elon Musk
xAI’s Grok approved for Pentagon classified systems: report
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
Elon Musk’s xAI has signed an agreement with the United States Department of Defense (DoD) to allow Grok to be used in classified military systems.
Previously, Anthropic’s Claude had been the only AI system approved for the most sensitive military work, but a dispute over usage safeguards has reportedly prompted the Pentagon to broaden its options, as noted in a report from Axios.
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
The publication reported that xAI agreed to the Pentagon’s requirement that its technology be usable for “all lawful purposes,” a standard Anthropic has reportedly resisted due to alleged ethical restrictions tied to mass surveillance and autonomous weapons use.
Defense Secretary Pete Hegseth is scheduled to meet with Anthropic CEO Dario Amodei in what sources expect to be a tense meeting, with the publication hinting that the Pentagon could designate Anthropic a “supply chain risk” if the company does not lift its safeguards.
Axios stated that replacing Claude fully might be technically challenging even if xAI or other alternative AI systems take its place. That being said, other AI systems are already in use by the DoD.
Grok already operates in the Pentagon’s unclassified systems alongside Google’s Gemini and OpenAI’s ChatGPT. Google is reportedly close to an agreement that will result in Gemini being used for classified use, while OpenAI’s progress toward classified deployment is described as slower but still feasible.
The publication noted that the Pentagon continues talks with several AI companies as it prepares for potential changes in classified AI sourcing.

