News
Tesla Model S Plaid fire: Strange observations and claims to date
Details about the Tesla Model S Plaid fire on Tuesday are starting to emerge. Similar to other dramatic electric vehicle fires, the details and observations emerging about the Tesla Model S Plaid fire are very interesting.
Accounts of the Model S Plaid fire have been shared by an EMT that reportedly responded to the incident, the chief fire officer for the Lower Merion Township Fire Department in Pennsylvania, and the lawyers representing the Model S Plaid owner.
With this in mind, it is pertinent to provide a view of what each party has stated about the incident so far. Going through each statement would potentially make it a lot easier to come up with a legitimate narrative in the future, especially as official investigations into the fire conclude. That being said, here are the accounts that have been shared on the Tesla Model S Plaid fire earlier this week.
What happened?
The Tesla Model S Plaid caught fire in Haverford, Pennsylvania on June 29, 2021. The vehicle, which was a Plaid variant based on the remains of its rear badge, was engulfed in flames when fire crews arrived. A Facebook post from the Gladwyne Volunteer Fire Company indicated that two fire engines were deployed for the incident. Firefighters were at the scene for about three hours, though the vehicle was cooled down for almost 90 minutes to ensure that the batteries were safe.
“Engine 24 with a crew of 7 arrived on scene simultaneously with Engine 25. Due to prior training classes on Tesla Vehicle Fire emergencies, Engine 24 laid a 5 inch supply line into the scene so that we could keep a continual water stream on the fire to extinguish the fire and cool the batteries down to ensure complete extinguishment. Engine 24 and Engine 25 both deployed hand lines to extinguish the fire, each maintained a dedicated water source and continued to cool the vehicle down for almost 90 minutes. Firefighters were on scene for just over 3 hours dealing with this emergency. Nobody was hurt in the incident, and both crews worked hard in the high heat/humidity to mitigate the incident,” the Gladwyne Volunteer Fire Company wrote.
Interestingly enough, this statement, as well as the Gladwyne Volunteer Fire Company’s Facebook post about the Model S Plaid fire has been taken offline. A look at the fire department’s Facebook page and its official website would reveal that the post about the Tesla fire has now been deleted.
A First Responder’s Account
As the story of the Model S Plaid fire gained ground, the incident started to attract a lot of attention on social media as well. On Reddit, u/wilyson, who claimed to be an EMT who responded to the fire, noted that the report they received about the incident was downright strange. According to the EMT, the person who reported the fire stated that the car was driving uphill without an occupant while it was ablaze. The owner was reportedly nowhere to be found. This was a rather dramatic image, and it promptly fueled speculations among the anti-EV crowd about “self-driving” cars catching fire.
Quite understandably, the EMT noted that he could not provide many details as the police are not releasing more information yet. That being said, the EMT later noted that car fires are very common and that electric vehicles are actually incredibly safe.
The Fire Chief’s Account
As noted in a CNBC report, chief fire officer for the Lower Merion Township Fire Department in Pennsylvania Charles McGarvey stated that the Tesla Model S caught fire on Tuesday while the driver was still at the wheel of the vehicle. According to the fire chief, firefighters eventually removed the Model S Plaid to a complex to safely store it overnight. The vehicle’s owner had since taken the remains of the vehicle from the facility, as per McGarvey, and will have the car investigated independently to determine the cause of the blaze.
The fire chief also stated that his teams had been in touch with Tesla and that some information about the incident should be made public soon. A National Highway Traffic Safety Administration spokesperson also noted that it was aware of the incident and that it is now in touch with relevant agencies and Tesla to gather more information about the fire. “If data or investigations show a defect or an inherent risk to safety exists, NHTSA will take action as appropriate to protect the public,” the NHTSA spokesperson said. The NTSB is not conducting an investigation to date.
The Lawyers’ Account
The Model S Plaid owner’s lawyers, Mark Geragos of Geragos & Geragos in Los Angeles, and Jason Setchen of Athlete Defender in Miami, have since mobilized to share details about the incident as well. In a statement to CNBC, the attorneys stated that the Tesla owner initially noticed smoke coming from the back of the Model S Plaid. Following this, the owner reportedly tried to unlock and open the vehicle’s doors, but he ended up having to force his way out of the car as the locks seemed to malfunction. The lawyers noted that after the Tesla owner left his car, the Model S began to move on its own while flames engulfed it.
Geragos Global attorney Ben Meiselas later posted a tweet sharing an image of the burning Model S. As per the lawyer, “Our firm & @AthleteDefender represent an exec who purchased new Tesla Plaid Model S, which was 1/250 shipped. On Tuesday it spontaneously combusted. Our client was trapped & could have died. We tried reaching out to Tesla & have been ignored so far. This is car after escape.”
Interesting (and strange) details
Overall, the Model S Plaid fire in PA features a number of interesting accounts that may not necessarily line up perfectly. The EMT that initially shared details about the incident mentioned that the Model S owner was nowhere to be found. The lawyers, on the other hand, shared an image reportedly taken immediately after the owner escaped, suggesting that the Tesla owner was on the scene of the blaze. As per the Model S Plaid’s Owner’s Manual, the vehicle is also equipped with a manual door release that should make it easy for occupants to vacate the car in case of an emergency. This seems to be a bit overlooked by the owner’s lawyers, who noted that their client was trapped inside the car.
Of course, the idea of a car driving on its own uphill while being engulfed in flames is quite strange, considering that neither Tesla’s Autopilot nor Full Self-Driving suite have such features. The only function that may have worked similarly is Smart Summon, but the vehicle was burning on a public street, an area where Smart Summon should have been unavailable.
We’ll definitely keep a pulse on this incident, as well as any details that may emerge as investigations go on, so do keep Teslarati on your radar as we follow developments in this event.
Do you have anything to share with the Teslarati Team? We’d love to hear from you, email us at tips@teslarati.com.
News
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
