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TX fire chief slams inaccurate Tesla crash coverage with firsthand details on Model S fire
Immediately following the fatal Tesla crash in Texas this weekend, reports from both local and national media outlets emerged citing the statements of Harris County Pct. 4 Constable Mark Herman, who remarked that police were 100% certain that there was no one in the driver seat of the ill-fated Model S when it crashed. Herman also commented that the Tesla fire was so severe that it took over 30,000 gallons of water and four hours to extinguish the flames from the crash, and that firefighters had to reach out to the EV maker for help in battling the fire.
These statements have since been debunked (at least to some degree) by Tesla CEO Elon Musk, who noted that data logs that have been recovered so far from the ill-fated Model S indicate that Autopilot was not enabled during the crash, and that the vehicle did not have any Full Sell-Driving functions activated. Musk’s update essentially threw a wrench on the pervading narrative that Autopilot likely caused the tragic crash.
Your research as a private individual is better than professionals @WSJ!
Data logs recovered so far show Autopilot was not enabled & this car did not purchase FSD.
Moreover, standard Autopilot would require lane lines to turn on, which this street did not have.
— Elon Musk (@elonmusk) April 19, 2021
And now, even the reports about the Tesla fire have been thrown into question–by the man whose team extinguished the blaze no less. In a statement to the Houston Chronicle, Palmer Buck, fire chief for The Woodlands Township Fire Department, noted that contrary to some reports in the media, the Tesla Model S fire did not burn out of control for four hours.
Interestingly enough, Buck remarked that his team actually managed to put down the fire within two to three minutes, which was enough for authorities to see that there were occupants in the vehicle. After these first two to three minutes, it was only a matter of keeping the batteries as cool as possible by pouring small amounts of water into the damaged battery pack. Buck described the fire department’s strategy in the following statement.
“With respect to the fire fight, unfortunately, those rumors grew way out of control. It did not take us four hours to put out the blaze. Our guys got there and put down the fire within two to three minutes, enough to see the vehicle had occupants. After that, it was simply cooling the car as the batteries continued to have a chain reaction due to damage.
“We could not tear it apart or move it around to get ‘final extinguishment’ because the fact that we had two bodies in there and it was then an investigation-slash-crime scene. We had to keep it cool, were on scene for four hours, but we were simply pouring a little bit of water on it. It was not because flames were coming out. It was a reaction in the battery pan. It was not an active fire,” Buck said.
As for the rumors that the fire department had to call a Tesla hotline for tips on how to handle a battery fire, the Fire Chief stated that these reports were untrue. “We did not (call Tesla), and I do not know where (that rumor) came from. There is a chance someone else did, maybe the Harris County Fire Marshal, but we did not call (Tesla). Tesla has an emergency manual for first responders,” Buck said. He also noted that he is not aware of Tesla having a hotline for tips on how to control a battery fire.
Buck also provided some new details about the Model S crash and how the fire department was involved. According to the fire chief, the first calls about the incident did not involve reports about a car at all. Instead, initial reports were about a fire in the woods. And while the Model S fire was notable when the firefighters arrived, it only took minutes to control the blaze from the vehicle.
“The first calls that came in were a fire in the woods. Then we got at 9:30 p.m. where we got the first call when someone said, ‘I see a car in a tree, and it is on fire. They reported a car hit a tree, and it had exploded… That is when we added extra units (to the response). There is a big lake, and (the accident) was just to the left of the lake, closer to the exiting part of the street, not the end of the cul de sac. It was at an undeveloped lot.
“(The Tesla) was heavily involved in flames. When the fire was put out, it was noticed there were two bodies (inside), and they were deceased. They continued extinguishment of the woods around (the car), putting out the trees and pine needles and what have you. I was there probably five to 10 minutes after that and at that point, every once in a while, the (battery) reaction would flame and it was mainly keeping water pouring on the battery,” Buck explained, adding that this was a process recommended by Tesla in cases of burning batteries.
While a number of the initial reports about the tragic Tesla crash this weekend have been debunked by Elon Musk and now, the fire chief for The Woodlands Township Fire Department, the incident continues to attract some degree of drama. As per recent reports, Harris County Pct. 4 Constable Mark Herman has stated that investigators would be serving a search warrant on Tesla to gain all data from the ill-fated Model S. Federal regulators from the NHTSA and NTSB have also launched an investigation into the crash.
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Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
