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Tesla owner explains Autopilot behavior at Model X accident scene

[Credit: Privater/YouTube]

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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.

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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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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

Elon Musk’s X will start using a Tesla-like software update strategy

The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.

The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.

X’s updates to its updates

As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks. 

“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.

The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.

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xAI and X

X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award. 

As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.

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Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award

The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.

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Credit: Grok Imagine

Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards

The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close. 

MotorTrend reverses course

MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.

According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.

Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.

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High cost and high capability

MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.

Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.

Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.

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Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia

The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.

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UK Government, CC BY 2.0 , via Wikimedia Commons

Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles. 

The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.

Grokipedia’s rapid growth

xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias. 

At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”

Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.

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Elon Musk’s ambitious plans

With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2. 

Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos

“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”

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