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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
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
SpaceXAI just launched into your kitchen with their new app
Tesla piggybacks recent Supercharger feature with update that takes it further
