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Tesla modules retrieved by NTSB could reveal clues on fatal Model X crash

[Credit: Dean C. Smith/Twitter]

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NTSB investigators looking into the fatal Tesla Model X crash have retrieved the ill-fated SUV’s restraint control module and infotainment module from the wreckage of the vehicle. 

Photographs of the ongoing NTSB investigation have been shared online by ABC7 News photographer Dean C. Smith. The series of pictures depicts a team of investigators from both the NTSB and the CHP’s Multidisciplinary Accident Investigation Team inspecting the wrecked Tesla. Smith was also able to photograph a module from the electric SUV being placed inside an evidence bag.

The NTSB later confirmed to the local news agency that the investigators were able to recover two components of the destroyed Model X — the vehicle’s restraint control module and its infotainment module. NTSB Spokesman Christopher O’Neil noted that the NTSB would be working with Tesla and the CHP in analyzing the data stored in the two devices.

“We’re going to work with CHP and Tesla to download the information from those modules and then see what data is available to us that might give insights into what was going on during the accident sequence,” O’Neil said.

Images of the continuing investigation from the NTSB and CHP could be viewed below.

Will Huang, the brother of the ill-fated electric SUV’s driver, has also shared some of his insights about the crash in a statement to ABC7. According to Will, his brother had brought the car to the Tesla service center before the accident due to what he believes were issues with the Model X’s Autopilot. Tesla has noted, however, that the owner of the Model X had taken the vehicle to the service center because of concerns about the SUV’s navigation, not its Autopilot, according to the local news agency.

“We’ve been doing a thorough search of our service records, and we cannot find anything suggesting that the customer ever complained to Tesla about the performance of Autopilot. There was a concern raised once about navigation not working correctly, but Autopilot’s performance is unrelated to navigation,” Tesla reportedly stated.

In a statement to the local news agency, Will Huang noted that a crash attenuator could have likely saved his brother’s life. Crash attenuators, better known as crash cushions, are designed to absorb the impact of a vehicle’s collision. As noted by Tesla in its blog post yesterday, however, a huge part of the crash cushion on the spot where the Model X met its end had been removed due to a previous collision.  

“That (the crash attenuator) ultimately should’ve saved my brother’s life. We’ve seen videos of similar crash(es) with cushion, and the driver walked out of it unharmed,” Huang noted.

In a recent announcement on its Twitter account, CHP Redwood City revealed that the last collision recorded at the same location as the ill-fated Model X crash happened on March 12, 2018, 11 days before the Tesla’s accident.

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The Tesla Model X has a 5-star safety rating from the National Highway Traffic Safety Administration (NHTSA). The electric SUV is equipped with 12 airbags — head and knee airbags in the front, 2 side curtain airbags, 4 seat-mounted side airbags, and 2 door-mounted airbags — which cocoon a driver and the vehicle’s passengers during an accident. As we reported last December, a Model X successfully protected its driver after getting into an accident with a car traveling at near-highway speeds. During that incident, all the Model X’s airbags deployed, and the driver was able to walk away from the collision unharmed.

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’s Boring Company opens Vegas Loop’s newest station

The Fontainebleau is the latest resort on the Las Vegas Strip to embrace the tunneling startup’s underground transportation system.

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Credit: The Boring Company/X

Elon Musk’s tunneling startup, The Boring Company, has welcomed its newest Vegas Loop station at the Fontainebleau Las Vegas.

The Fontainebleau is the latest resort on the Las Vegas Strip to embrace the tunneling startup’s underground transportation system.

Fontainebleau Loop station

The new Vegas Loop station is located on level V-1 of the Fontainebleau’s south valet area, as noted in a report from the Las Vegas Review-Journal. According to the resort, guests will be able to travel free of charge to the stations serving the Las Vegas Convention Center, as well as to Loop stations in Encore and Westgate.

The Fontainebleau station connects to the Riviera Station, which is located in the northwest parking lot of the convention center’s West Hall. From there, passengers will be able to access the greater Vegas Loop.

Vegas Loop expansion

In December, The Boring Company began offering Vegas Loop rides to and from Harry Reid International Airport. Those trips include a limited above-ground segment, following approval from the Nevada Transportation Authority to allow surface street travel tied to Loop operations.

Under the approval, airport rides are limited to no more than four miles of surface street travel, and each trip must include a tunnel segment. The Vegas Loop currently includes more than 10 miles of tunnels. From this number, about four miles of tunnels are operational.

The Boring Company President Steve Davis previously told the Review-Journal that the University Center Loop segment, which is currently under construction, is expected to open in the first quarter of 2026. That extension would allow Loop vehicles to travel beneath Paradise Road between the convention center and the airport, with a planned station located just north of Tropicana Avenue.

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Tesla leases new 108k-sq ft R&D facility near Fremont Factory

The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.

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Credit: Tesla

Tesla has expanded its footprint near its Fremont Factory by leasing a 108,000-square-foot R&D facility in the East Bay. 

The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.

A new Fremont lease

Tesla will occupy the entire building at 45401 Research Ave. in Fremont, as per real estate services firm Colliers. The transaction stands as the second-largest R&D lease of the fourth quarter, trailing only a roughly 115,000-square-foot transaction by Figure AI in San Jose.

As noted in a Silicon Valley Business Journal report, Tesla’s new Fremont lease was completed with landlord Lincoln Property Co., which owns the facility. Colliers stated that Tesla’s Fremont expansion reflects continued demand from established technology companies that are seeking space for engineering, testing, and specialized manufacturing.

Tesla has not disclosed which of its business units will be occupying the building, though Colliers has described the property as suitable for office and R&D functions. Tesla has not issued a comment about its new Fremont lease as of writing.

AI investments

Silicon Valley remains a key region for automakers as vehicles increasingly rely on software, artificial intelligence, and advanced electronics. Erin Keating, senior director of economics and industry insights at Cox Automotive, has stated that Tesla is among the most aggressive auto companies when it comes to software-driven vehicle development.

Other automakers have also expanded their presence in the area. Rivian operates an autonomy and core technology hub in Palo Alto, while GM maintains an AI center of excellence in Mountain View. Toyota is also relocating its software and autonomy unit to a newly upgraded property in Santa Clara.

Despite these expansions, Colliers has noted that Silicon Valley posted nearly 444,000 square feet of net occupancy losses in Q4 2025, pushing overall vacancy to 11.2%.

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Tesla winter weather test: How long does it take to melt 8 inches of snow?

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Credit: Teslarati

In Pennsylvania, we got between 10 and 12 inches of snow over the weekend as a nasty Winter storm ripped through a large portion of the country, bringing snow to some areas and nasty ice storms to others.

I have had a Model Y Performance for the week courtesy of Tesla, which got the car to me last Monday. Today was my last full day with it before I take it back to my local showroom, and with all the accumulation on it, I decided to run a cool little experiment: How long would it take for Tesla’s Defrost feature to melt 8 inches of snow?

Tesla Model Y Performance set for new market entrance in Q1

Tesla’s Defrost feature is one of the best and most underrated that the car has in its arsenal. While every car out there has a defrost setting, Tesla’s can be activated through the Smartphone App and is one of the better-performing systems in my opinion.

It has come in handy a lot through the Fall and Winter, helping clear up my windshield more efficiently while also clearing up more of the front glass than other cars I’ve owned.

The test was simple: don’t touch any of the ice or snow with my ice scraper, and let the car do all the work, no matter how long it took. Of course, it would be quicker to just clear the ice off manually, but I really wanted to see how long it would take.

Tesla Model Y heat pump takes on Model S resistive heating in defrosting showdown

Observations

I started this test at around 10:30 a.m. It was still pretty cloudy and cold out, and I knew the latter portion of the test would get some help from the Sun as it was expected to come out around noon, maybe a little bit after.

I cranked it up and set my iPhone up on a tripod, and activated the Time Lapse feature in the Camera settings.

The rest of the test was sitting and waiting.

It didn’t take long to see some difference. In fact, by the 20-minute mark, there was some notable melting of snow and ice along the sides of the windshield near the A Pillar.

However, this test was not one that was “efficient” in any manner; it took about three hours and 40 minutes to get the snow to a point where I would feel comfortable driving out in public. In no way would I do this normally; I simply wanted to see how it would do with a massive accumulation of snow.

It did well, but in the future, I’ll stick to clearing it off manually and using the Defrost setting for clearing up some ice before the gym in the morning.

Check out the video of the test below:

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