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New details on fatal Tesla crash in Texas revealed in Fire Marshal report

Credit: Reuters/Twitter

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A report from the Harris County Fire Marshal’s Office has provided several new details about the high-profile, fatal Tesla Model S crash that happened earlier this month in Texas. The incident, which triggered a wave of inaccurate reports suggesting that the ill-fated vehicle was “driverless,” has rekindled conversations about Tesla’s response to misinformation and the dangers of irresponsible driving. 

Immediately after the crash, Harris County Pct. 4 Constable Mark Herman remarked that reconstructionists who responded to the accident were “100% certain that no one was in the driver seat driving that vehicle at the time of impact.” This triggered reports alleging that Autopilot was somehow involved. Herman also remarked that the blaze that resulted from the crash took about four hours to be extinguished, and that firefighters had to call for Tesla for tips on how to address the ill-fated Model S’ battery fire. 

These statements were promptly corrected by CEO Elon Musk, who noted that data logs indicate that Autopilot was not enabled during the incident. Fire Chief of The Woodlands Township Fire Department Palmer Buck also corrected reports about the Model S’ battery fire, noting that the blaze was controlled within two to three minutes. After this, it was no longer an active fire, as the fire department was just focused on keeping the battery as cool as possible. Buck also noted that fire personnel did not call Tesla for help on how to handle the vehicle fire.  

According to the recent report from the Harris County Fire Marshal’s Office, the vehicle had sustained a “significant front-end collision” that may have damaged its battery, power distribution system, or battery-temperature control systems. While investigator Chris Johnson noted that he was unable to determine the first heat source of the blaze, he concluded that the fire was caused by the Model S’ collision with the tree. The report also noted that the fire was well underway by the time authorities were on the scene, destroying most parts of the vehicle. 

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The report provided some details about the ill-fated Model S’ two passengers, both of whom perished in the incident. According to the report, the vehicle’s interior had extensive fire damage when some authorities arrived, and most of the combustible materials in the space had already been destroyed. The crash’s victims, William Varner, 59, and Everette Talbot, 69, were on seats whose frames were already visible due to extensive fire damage. 

“Decedent 1 was located in a seated position, a few inches forward of the front right (passenger) seat. Decedent 1’s upper torso was in a forward-leaning position, with both arms forward… Decedent 2 was located in a seated position within the rear left (passenger) seat. Decedent 2’s upper torso was in a rear-leaning position, with both arms rolled back in a pugilistic pose,” the report read. 

As noted by Tesla in its Q1 earnings call, the company is currently working directly with local authorities, the NTSB, and the NHTSA, to investigate the incident. Tesla Vice President of Vehicle Engineering Lars Moravy added that so far, an inspection of the ill-fated vehicle revealed that the steering wheel was deformed. This, together with the fact that Autopilot was not activated and that all seatbelts post-crash were unbuckled, hints at the likelihood that someone was in the driver’s seat at the time of the crash. 

The report from the Harris County Fire Marshal’s Office could be accessed below. 

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Tesla TX Crash Fire Marshal Incident Report by Simon Alvarez on Scribd

Don’t hesitate to contact us for news tips. Just send a message to tips@teslarati.com to give us a heads up.

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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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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.

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Credit: Ford Motor Company

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.

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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.

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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.

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Credit: @jojje167 on X

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:

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.

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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:

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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.

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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. 

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Credit: xAI

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.

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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.

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