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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 intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
