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Tesla Model S Plaid totaled by Service Center employee, leaving owner without answers

Credit: Teslarati

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Update 9/9/22 12:32 P.M. EST: Jeff contacted me personally and told me Tesla has officially shipped a Model S Plaid identical to his now-totaled vehicle. “I just got a call from Tesla, a clone of my Model S Plaid is on the truck heading for Texas as I text you today.”

A $155,000 Tesla Model S Plaid was totaled several days after the owner dropped the vehicle off for a Service appointment. Now, the owner is attempting to find answers.

After dropping his Model S Plaid with only a few thousand miles off at the Plano, Texas Tesla Service Center on Wednesday, August 24, owner Jeff said he received a call on Tuesday, August 30, from an employee. “We have some bad news,” Jeff heard over the phone. “Your car was totaled.”

“I thought it was a joke,” Jeff told Teslarati in an interview. “I found out very soon it was not a joke.”

After arriving at the Service Center the next day, on Wednesday, August 31, Jeff found his black Model S Plaid in the parking lot. The rear passenger door smashed in, and visibility into the vehicle was limited due to many airbags in the car being deployed. The vehicle had been t-boned by another car traveling just two blocks from the Service Center, located at 5800 Democracy Drive in Plano. The repair had already been completed and an employee was driving the vehicle around to ensure it was completed properly.

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However, the driver of the Model S Plaid, a 31-year-old employee of the Plano Service Center, failed to yield the right of way at a stop sign and was hit by another car. The Model S Plaid was totaled in the accident.

Initially, Jeff was interested in receiving a new car, of course, and there happened to be an exact match of what his Plaid Model S once was at another showroom in the State. He was offered that vehicle on Wednesday, but by Thursday, that had changed. Tesla said they would likely go through insurance, meaning it would take nearly three weeks to get Jeff his vehicle.

The Legalities of the Situation

Teslarati spoke to insurance experts and liability attorneys, who told us the situation in which the vehicle was totaled and determining liability is what truly matters. The fact that this is a customer’s car and an employee crashed it is irrelevant until liability is determined.

We obtained the police report through the City of Plano, which revealed the employee at the Tesla Service Center was at fault. Jeff also told us that when he spoke to the employee driving the vehicle at the time of the accident, they admitted that the accident was his fault.

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The report states that the driver of the Model S was officially charged with Failure to Yield the Right of Way at a Stop Sign. The investigating officer describes the accident in the report:

UNIT 1 WAS STOPPED AT A STOP SIGN IN LANE 2 E/B DEMOCRACY DRIVE FOR PARKWOOD BLVD. UNIT 1 THEN PROCEEDED THROUGH THE INTERSECTION. UNIT 2 WAS N/B PARKWOOD BLVD IN THE RIGHT LANE. DUE TO UNIT 1 FAILING TO YIELD RIGHT OF WAY AT A STOP SIGN TO UNIT 2, THE FRONT END OF UNIT 2 STRUCK THE RIGHT BACK QUARTER OF UNIT 1.”

tesla model s plaid crash service center

Illustration of the accident: Unit 1 is the Tesla Model S, while Unit 2 is the Audi A5. Unit 1 is the vehicle at fault, City of Plano officials told Teslarati. (Credit: Teslarati)

Credit: Teslarati

The report, obtained by Teslarati, shows there was a second occupant in the Tesla at the time of the crash. The driver is 33. The passenger is 31. Additionally, the Audi A5 that collided with the Tesla was being driven by a 62-year-old who was taken to Plano Presbyterian Hospital.

What’s Next

Tesla has been tight-lipped to Jeff, saying they would be in touch with him regarding the accident within the next three weeks. Tesla may have been attempting to determine liability as its employee who was driving the vehicle may not necessarily be responsible for the accident, especially considering he was t-boned while navigating through an intersection. However, the report filed by the investigating officer determined that the driver of the Tesla was at fault, and the fact that the employee also expressed to Jeff that the accident was his fault would eliminate Tesla’s need to determine this.

Jeff said Tesla has not offered a loaner or a formal replacement vehicle currently, which makes his situation much more complicated. Teslarati reported last month that Tesla had abolished its policy of offering loaners and Uber credits for some service appointments. However, Jeff’s vehicle is totaled, he is without a replacement, and the accident did not happen while he was driving the car, or even in possession of the Model S Plaid.

As of Tuesday, September 6, Tesla has yet to contact Jeff regarding the accident or any information on a replacement vehicle.

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I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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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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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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