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Tesla representative removed from auto dealer’s board by Virginia Senate

Gov. Terry McAuliffe speaks during Tesla’s grand opening event. (Governor’s Office – Michaele White)

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Tesla Inc. employee Cody Arnett was relieved of his post in Virginia’s Motor Vehicle Dealer Board earlier this week, amid an ongoing battle over the electric carmaker’s right to sell directly to consumers in the state. Arnett, who was appointed by former Governor Terry McAuliffe before he stepped down from office, raised some eyebrows among other members of the MVDB, many of whom felt that the Tesla employee was not qualified for the post.

His removal from the MVDB seemed to have been caused by strong opposition to Tesla’s dealership-free business model by the Virginia Automobile Dealers Association (VADA), an influential group of legacy auto dealers that holds to the notion that automakers must sell vehicles through franchised dealerships. Arnett, who currently works as a performance coach for Tesla, was set to serve for four years on Virginia’s Motor Vehicle Dealer Board. As one of the MVDB’s 19 members, Arnett was tasked with the regulation and oversight of new and used automobile dealers in the state. On January 15, however, the VADA formally submitted a request to strip the 29-year-old Tesla employee of his appointment.

According to the VADA, Arnett should not be allowed to serve on the MVDB because he was not the owner of a franchised vehicle dealership. In a statement to the Richmond Times-Dispatch, the auto group’s president and CEO, Don Hall, asserted that the technicality ultimately disqualifies the Tesla employee from holding one of the board’s 19 seats.

“The seat cannot be held by an employee of a dealer. It must be held by the owner of a dealership. I am sure the young man is a nice guy, and I am sure he has got great intentions, but the fact is he does not qualify,” Hall said, according to the Times-Dispatch.

The Virginia Automobile Dealers Association’s objection to Arnett’s appointment was submitted to Sen. Jill Holtzman Vogel, R-Fauquier, the chairwoman of the Senate Privileges and Elections Committee. Last Tuesday, the Senate committee decided to strip Arnett of his place in the MVDB, in what could only be described as a rare instance when a gubernatorial appointment was relieved from a post, as noted in a Washington Post report. Only one member of the committee, Sen. Adam Ebbin, D-Alexandria, voted to keep Arnett on the Motor Vehicle Dealer Board.

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Arnett has been a longtime employee of Tesla, starting his tenure with the Elon Musk-led electric car maker and energy firm back in 2012. In a statement to the Times-Dispatch, Arnett stated that he received a dealer-operator license three years ago. He also revealed that he had already attended an MVDB meeting earlier this month.

In a statement to the Times-Dispatch on Wednesday, Tesla senior policy manager Brooke Kintz expressed the company’s disappointment at Arnett’s removal from the state’s Motor Vehicle Dealer Board.

“Arnett would have brought an important and innovative perspective to the board and to Virginians. Former Governor McAuliffe recognized this in appointing Cody, and as the holder of a license in Virginia, Tesla has just as much of a right to participate on the MVDB as anyone else.

“The decision of a small number of legislators to overturn Cody’s appointment at the urging of VADA is highly unusual if not unprecedented. It raises basic questions of fairness and improper political influence,” Kintz said.

Tesla currently operates one store at 9850 W. Broad St. in western Henrico County, Virginia, that doubles as a showroom and service center.

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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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Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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