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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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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. 

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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 seen as early winner as Canada reopens door to China-made EVs

Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.

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Credit: Tesla

Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.

Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more. 

Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney. 

Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.

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Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver. 

When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.

Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.

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Elon Musk

Tesla confirms that work on Dojo 3 has officially resumed

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.

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(Credit: Tesla)

Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage. 

Tesla CEO Elon Musk confirmed the update in a recent post on X.

Tesla’s Dojo 3 initiative restarted

In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X. 

Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications. 

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Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.

Tesla’s AI roadmap

Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures. 

He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.

Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected. 

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Elon Musk

Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online

Elon Musk shared his update in a recent post on social media platform X.

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xAI-supercomputer-memphis-environment-pushback
Credit: xAI

xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.

Elon Musk shared his update in a recent post on social media platform X.

Colossus 2 goes live

The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world. 

But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.  

Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.

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Funding fuels rapid expansion

xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.

The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.

xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.

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