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Tesla Model S Plaid fire: Strange observations and claims to date

Credit: Gladwyne Volunteer Fire Company/Facebook

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4 years ago

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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. 

Credit: Gladwyne Volunteer Fire Company

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. 

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Credit: Gladwyne Volunteer Fire Company

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.”

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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.

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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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Tesla Full Self-Driving v14.1 first impressions: Robotaxi-like features arrive

Tesla Full Self-Driving v14.1 is here, and we got to experience it for ourselves.

Published

11 minutes ago

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October 8, 2025

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Tesla rolled out its Full Self-Driving v14.1 yesterday, its first public launch of its most robust and accurate FSD iteration yet. Luckily, I was able to get my hands on it through the Early Access Program.

The major changes in FSD v14.1 were revealed in the release notes, which outline several notable improvements in areas such as driving styles, parking, and overall navigation. Here’s what Tesla outlined fully in its release notes:

  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!

I wanted to try it for myself. My big must-dos were my complaints with v13.2.9, which included parking when arriving at a destination, Navigation when leaving a destination, and definitely a general improvement in the car traveling at an acceptable rate of speed, even when using the “Hurry” driving style.

Here’s what I noticed with the new Full Self-Driving v14.1:

Speed Profiles are More Realistic

I am driving on “Hurry” about 95% of the time when utilizing Full Self-Driving. In past versions, most notably v13.2.9, my Tesla would slowly reach the speed limit, and it would tend to hang out at about 1-2 MPH either above or below it.

My first observation with v14.1 was the vehicle’s tendency to get right up to speed and, since I was still on Hurry, drive slightly above the speed limit. It never got out of line; it traveled at speeds I would typically drive at manually.

I think this is a big improvement on its own, because I felt that I was pressing the accelerator too frequently in past FSD versions. Oftentimes, it just wasn’t going fast enough to justify the “Hurry” label; it felt more conservative and more like a student driver than anything.

Check it out:

This was among my favorite improvements, and it was the first thing I noticed as the car navigated me to the Supercharger, where my next positive is.

Navigating into parking lots, self-parking at Supercharger

One of the changes noted in the Release Notes was the addition of Arrival Options, which allows the car to select the appropriate parking situation. Since I was going to charge, the car had already chosen “Charger” as the parking option.

Pulling into a gas station or convenience store, especially during work days, can be stressful, as they are usually congested and full of foot and vehicle traffic. In past FSD versions, I have noticed the car being slightly “jumpy” and even hesitant to proceed through the lot.

Driving through parking lots was a noticeable improvement. It seems as if the car is much more confident in making its way through, while still being aware and cautious enough to safely navigate to the Supercharger.

It then backed straight into a Supercharger stall, which was recently repaired and is once again active. I was actually upset it chose this specific stall because it had been inactive for a while. However, Tesla got this stall back up and running, the car chose it, and backed into the spot flawlessly:

This was super cool to experience, and I think it is a testament to how hard the Tesla AI team has worked. CEO Elon Musk recently stated that FSD would enable automatic parking at Superchargers, which was really awesome to experience firsthand.

I decided to leave the Supercharger and go to an auto parts store to pick up some interior cleaner and some microfiber towels. I love keeping my Tesla clean!

I also thought it would be a great opportunity to see how it would react to another parking lot, how it would navigate it, and let it choose a parking spot. It did it all flawlessly:

I had zero complaints about everything here. All of it was done really well.

Making a choice after being caught in the middle of an intersection

I arrived at a tight intersection in Dallastown, PA, and what my car did next has catalyzed quite a conversation on X.

It proceeded out into the middle of the intersection as the light was green. It had to yield to oncoming traffic, and while waiting, the light turned yellow, then red.

Most people, including myself, would have turned right and proceeded through the intersection since the car was already past the line. However, FSD chose to back up and wait for the next light cycle, which I felt was also a more than acceptable option:

There are some conflicting perspectives on what it chose to do here. Some said they would have proceeded and would want FSD to also proceed. I can agree with that perspective, but I also think it is not the worst thing in the world to back up. In Pennsylvania, I couldn’t find the exact law that says what is right or wrong. Instead, I did see that a left turn on red is only feasible when you’re going from a One-Way street to another One-Way.

I’m not totally sure what is “correct” here, but I think either option is fine. I have personally done both, and I’ve seen other drivers do both. I was more than fine with the car doing this, and I was honestly impressed that it did.

Navigated a busy grocery store lot, found suitable parking

This is not the busiest my local grocery store gets, but it was still congested enough for me to be impressed.

FSD decided to do one loop in the parking lot before it found a spot that it felt was good enough for me. I was perfectly fine with where it chose to park, and I thought it did a really great job. I was impressed with how stress-free I felt, as I have noted in the past that parking lots are definitely an area where Tesla needs to improve.

I was happy with its performance:

Strange right turn signal as if it saw an emergency vehicle

This was the first bug I noticed with FSD v14.1. While traveling on a local road, it put the right turn signal on and approached the curb as if it was pulling over for an emergency vehicle or as if it was going to park on the street.

It then realized its mistake and proceeded:

I’m not super sure what caused this, but I was a tad bit confused. There were no police cars, ambulances, or anyone with flashing lights to my rear. There was a dump truck on the other side of the road, and I almost felt like the way it navigated “around” that was probably what triggered it.

Navigation is still making strange decisions

I’ve written about navigation and my discontent with some of its decisions. It seems v14.1 didn’t resolve much of anything with navigation, and it did a couple of things wrong.

The first was that it tried to take the illogical and pointless path out of the Supercharger. I wrote about this a few days ago, as FSD tried to take my car the wrong way.

It did it again, but I overrode the decision, and it was all okay:

This is a minor issue, but it is still pretty frustrating. Hopefully, the navigation will learn after performing this adjustment after enough times.

The next navigation issue was more frustrating than the Supercharger one, especially considering it completely ignored the route. The navigation had the vehicle very clearly heading straight, but out of nowhere, the right turn signal went on. I overrode it, but the car still turned right, ignoring the navigation completely:

I ended up taking over here and driving until I could get to a stop sign.

Final Thoughts

I am really impressed with all of the changes Tesla made with FSD v14.1, and while there were a handful of bugs, things were tremendously better than v13.2.9.

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Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

The CEO stated that Nvidia is already an investor in xAI, but he wished he had given the artificial intelligence startup more money.

Published

3 hours ago

on

October 8, 2025

By

Credit: Elon Musk/X

Nvidia CEO Jensen Huang revealed that one of his investment regrets is not putting more money into Elon Musk’s artificial intelligence startup, xAI. 

Speaking in a CNBC interview, Huang said Nvidia is already an investor in xAI but wished he had given the artificial intelligence startup more money. This was due to Musk’s record of building transformative companies such as Tesla and SpaceX.

A new wave of transformative AI firms

Huang said he’s very excited about xAI’s latest financing round. He described Musk’s company as part of a powerful new generation of AI developers, alongside OpenAI and Anthropic. that are reshaping the computing landscape.

“I’m super excited about the financing opportunity they’re doing. The only regret I have about xAI, we’re an investor already, is that I didn’t give him more money. You know almost everything that Elon’s pat of, you really want to be part of as well,” the Nvidia CEO stated.

The CEO also clarified Nvidia’s investment in xAI, revealing that Elon Musk had offered the investment opportunity to the chipmaker. “He (Musk) gave us the opportunity to invest in xAI. I’m just delighted by that,” Huang stated.

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AI investment boom

Huang contrasted today’s AI-driven economy with the early days of the internet. “Back then, all the internet companies combined were maybe $30 or $40 billion in size,” he said. “If you look at the hyperscalers now, that’s about $2.5 trillion of business already operating today.”

He also stated that the ongoing shift from CPU-based computing to GPU-powered generative AI represents a “multi-trillion-dollar buildout” that Nvidia is looking to support. Huang added that every Nvidia engineer now works with AI coding assistants such as Cursor, which he called his “favorite enterprise AI service,” and it has led to a major productivity boost across the company.

Watch Nvidia CEO Jensen Huang’s CNBC interview in the video below.

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Investor's Corner

Stifel raises Tesla price target by 9.8% over FSD, Robotaxi advancements

Stifel also maintained a “Buy” rating for the electric vehicle maker.

Published

4 hours ago

on

October 8, 2025

By

Credit: Tesla China

Investment firm Stifel has raised its price target for Tesla (NASDAQ:TSLA) shares to $483 from $440 over increased confidence in the company’s self-driving and Robotaxi programs. The new price target suggests an 11.5% upside from Tesla’s closing price on Tuesday.

Stifel also maintained a “Buy” rating despite acknowledging that Tesla’s timeline for fully unsupervised driving may be ambitious.

Building confidence

In a note to clients, Stifel stated that it believes “Tesla is making progress with modest advancements in its Robotaxi network and FSD,” as noted in a report from Investing.com. The firm expects unsupervised FSD to become available for personal use in the U.S. by the end of 2025, with a wider ride-hailing rollout potentially covering half of the U.S. population by year-end.

Stifel also noted that Tesla’s Robotaxi fleet could expand from “tiny to gigantic” within a short time frame, possibly making a material financial impact to the company by late 2026. The firm views Tesla’s vision-based approach to autonomy as central to this long-term growth, suggesting that continued advancements could unlock new revenue streams across both consumer and mobility sectors.

https://twitter.com/AIStockSavvy/status/1975893527344345556

Tesla’s FSD goals still ambitious

While Stifel’s tone remains optimistic, the firm’s analysts acknowledged that Tesla’s aggressive autonomy timeline may face execution challenges. The note described the 2025 unsupervised FSD target as “a stretch,” though still achievable in the medium term.

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“We believe Tesla is making progress with modest advancements in its Robotaxi network and FSD. The company has high expectations for its camera-based approach including; 1) Unsupervised FSD to be available for personal use in the United States by year-end 2025, which appears to be a stretch but seems more likely in the medium term; 2) that it will ‘probably have ride hailing in probably half of the populations of the U.S. by the end of the year’,” the firm noted.

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