News
Tesla Model S Plaid totaled by Service Center employee, leaving owner without answers
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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- Credit: Teslarati
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- Credit: Teslarati
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.
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.”
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)
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.
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.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
