News
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
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.
During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.
Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”
Tesla Semi’s official battery capacity leaked by California regulators
The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.
A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.
Tesla Semi AI4 cameras. The production version has 10 cameras on its exterior.
These trucks are designed to be autonomous. pic.twitter.com/GH3BamxIBQ
— Nic Cruz Patane (@niccruzpatane) April 14, 2026
Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.
The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.
It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.
Investor's Corner
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.
This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.
Tesla Q2 2026 Earnings Results
- Non-GAAP EPS – $0.33 reported vs. $0.53 expected
- Revenues – $28.236 billion reported vs. $26.4 billion expected
- Free Cash Flow- -$1.092B
- Profit -$ 4.751B
Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.
Tesla shares closed today down just over 1 percent, trading at $374.01.
In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.
Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q2 2026 Earnings Call https://t.co/zZS6ii2TWK
— Tesla (@Tesla) July 22, 2026
Elon Musk
Tesla is about to make parking in busy lots less stressful than ever
Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.
Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:
It’s coming soon
— Elon Musk (@elonmusk) July 21, 2026
Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.
Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.
Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.
The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:
Tesla reveals 2026 Summer Update with crazy fixes to Nav and more
Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.
Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.
