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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. 

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. 

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“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. 

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

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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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Man credits Grok AI with saving his life after ER missed near-ruptured appendix

The AI flagged some of the man’s symptoms and urged him to return to the ER immediately and demand a CT scan.

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Credit: Grok Imagine

A 49-year-old man has stated that xAI’s Grok ended up saving his life when the large language model identified a near-ruptured appendix that his first ER visit dismissed as acid reflux. 

After being sent home from the ER, the man asked Grok to analyze his symptoms. The AI flagged some of the man’s symptoms and urged him to return immediately and demand a CT scan. The scan confirmed that something far worse than acid reflux was indeed going on.

Grok spotted what a doctor missed

In a post on Reddit, u/Tykjen noted that for 24 hours straight, he had a constant “razor-blade-level” abdominal pain that forced him into a fetal position. He had no fever or visible signs. He went to the ER, where a doctor pressed his soft belly, prescribed acid blockers, and sent him home. 

The acid blockers didn’t work, and the man’s pain remained intense. He then decided to open a year-long chat he had with Grok and listed every detail that he was experiencing. The AI responded quickly. “Grok immediately flagged perforated ulcer or atypical appendicitis, told me the exact red-flag pattern I was describing, and basically said “go back right now and ask for a CT,” the man wrote in his post. 

He copied Grok’s reasoning, returned to the ER, and insisted on the scan. The CT scan ultimately showed an inflamed appendix on the verge of rupture. Six hours later, the appendix was out. The man said the pain has completely vanished, and he woke up laughing under anesthesia. He was discharged the next day.

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How a late-night conversation with Grok got me to demand the CT scan that saved my life from a ruptured appendix (December 2025)
byu/Tykjen ingrok

AI doctors could very well be welcomed

In the replies to his Reddit post, u/Tykjen further explained that he specifically avoided telling doctors that Grok, an AI, suggested he get a CT scan. “I did not tell them on the second visit that Grok recommended the CT scan. I had to lie. I told them my sister who’s a nurse told me to ask for the scan,” the man wrote. 

One commenter noted that the use of AI in medicine will likely be welcomed, stating that “If AI could take doctors’ jobs one day, I will be happy. Doctors just don’t care anymore. It’s all a paycheck.” The Redditor replied with, “Sadly yes. That is what it felt like after the first visit. And the following night could have been my last.”

Elon Musk has been very optimistic about the potential of robots like Tesla Optimus in the medical field. Provided that they are able to achieve human-level articulation in their hands, and Tesla is able to bring down their cost through mass manufacturing, the era of AI-powered medical care could very well be closer than expected. 

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Tesla expands Model 3 lineup in Europe with most affordable variant yet

The Model 3 Standard still delivers more than 300 miles of range, potentially making it an attractive option for budget-conscious buyers.

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Credit: Tesla

Tesla has introduced a lower-priced Model 3 variant in Europe, expanding the lineup just two months after the vehicle’s U.S. debut. The Model 3 Standard still delivers more than 300 miles (480 km) of range, potentially making it an attractive option for budget-conscious buyers.

Tesla’s pricing strategy

The Model 3 Standard arrives as Tesla contends with declining registrations in several countries across Europe, where sales have not fully offset shifting consumer preferences. Many buyers have turned to options such as Volkswagen’s ID.3 and BYD’s Atto 3, both of which have benefited from aggressive pricing.

By removing select premium finishes and features, Tesla positioned the new Model 3 Standard as an “ultra-low cost of ownership” option of its all-electric sedan. Pricing comes in at €37,970 in Germany, NOK 330,056 in Norway, and SEK 449,990 in Sweden, depending on market. This places the Model 3 Standard well below the “premium” Model 3 trim, which starts at €45,970 in Germany. 

Deliveries for the Standard model are expected to begin in the first quarter of 2026, giving Tesla an entry-level foothold in a segment that’s increasingly defined by sub-€40,000 offerings.

Tesla’s affordable vehicle push

The low-cost Model 3 follows October’s launch of a similarly positioned Model Y variant, signaling a broader shift in Tesla’s product strategy. While CEO Elon Musk has moved the company toward AI-driven initiatives such as robotaxis and humanoid robots, lower-priced vehicles remain necessary to support the company’s revenue in the near term.

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Reports have indicated that Tesla previously abandoned plans for an all-new $25,000 EV, with the company opting to create cheaper versions of existing platforms instead. Analysts have flagged possible cannibalization of higher-margin models, but the move aims to counter an influx of aggressively priced entrants from China and Europe, many of which sell below $30,000. With the new Model 3 Standard, Tesla is reinforcing its volume strategy in Europe’s increasingly competitive EV landscape.

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Tesla FSD (Supervised) stuns Germany’s biggest car magazine

FSD Supervised recognized construction zones, braked early for pedestrians, and yielded politely on narrow streets.

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Credit: Grok Imagine

Tesla’s upcoming FSD Supervised system, set for a European debut pending regulatory approval, is showing notably refined behavior in real-world testing, including construction zones, pedestrian detection, and lane changes, as per a recent demonstration ride in Berlin. 

While the system still required driver oversight, its smooth braking, steering, and decision-making illustrated how far Tesla’s driver-assistance technology has advanced ahead of a potential 2026 rollout.

FSD’s maturity in dense city driving

During the Berlin test ride with Auto Bild, Germany’s largest automotive publication, a Tesla Model 3 running FSD handled complex traffic with minimal intervention, autonomously managing braking, acceleration, steering, and overtaking up to 140 km/h. It recognized construction zones, braked early for pedestrians, and yielded politely on narrow streets. 

Only one manual override was required when the system misread a converted one-way route, an example, Tesla stated, of the continuous learning baked into its vision-based architecture.

Robin Hornig of Auto Bild summed up his experience with FSD Supervised with a glowing review of the system. As per the reporter, FSD Supervised already exceeds humans with its all-around vision. “Tesla FSD Supervised sees more than I do. It doesn’t get distracted and never gets tired. I like to think I’m a good driver, but I can’t match this system’s all-around vision. It’s at its best when both work together: my experience and the Tesla’s constant attention,” the journalist wrote. 

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https://twitter.com/Paddy_film/status/1996245521770364947?s=20

Tesla FSD in Europe

FSD Supervised is still a driver-assistance system rather than autonomous driving. Still, Auto Bild noted that Tesla’s 360-degree camera suite, constant monitoring, and high computing power mark a sizable leap from earlier iterations. Already active in the U.S., China, and several other regions, the system is currently navigating Europe’s approval pipeline. Tesla has applied for an exemption in the Netherlands, aiming to launch the feature through a free software update as early as February 2026.

What Tesla demonstrated in Berlin mirrors capabilities already common in China and the U.S., where rival automakers have rolled out hands-free or city-navigation systems. Europe, however, remains behind due to a stricter certification environment, though Tesla is currently hard at work pushing for FSD Supervised’s approval in several countries in the region.

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