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Tesla investors were “coerced” and “uninformed” during Musk pay ratification vote: lawyers

Credit: Andrea Conway/X

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The legal team of Tesla investor Richard Tornetta, who held nine TSLA shares when he filed a complaint in Delaware against CEO Elon Musk’s 2018 CEO Performance Award, is not happy about Tesla’s efforts to urge the court to consider the ratification of Musk’s pay package. As per Tornetta’s lawyers, the ratification vote was coerced and uninformed — and thus invalid. 

In a filing, Tornetta’s lawyers argued that the the Delaware Court should reject the efforts of Tesla’s legal team to consider the ratification of Musk’s compensation plan by the company’s shareholders at the 2024 Annual Stockholders’ Meeting. As could be seen in the filing, Tornetta’s lawyers immediately criticized Tesla for the EV maker’s attempts to revise the court’s initial opinion about the case

“Ten leading law firms and an unlimited budget. And they still could not find it. A case, any case, holding stockholders can usurp the Supreme Court’s role and reverse this Court’s trial judgment. Quod erat demonstrandum. Delaware is not Athens. The stockholder franchise—however important—is not a ‘get out of [rescission] free’ card. Defendants’ proposal is a dangerous paradigm shift: Courts would be subject to vox populi, and stockholders could overturn trial judgments,” Tornetta’s lawyers wrote. 

The plaintiff’s legal team also argued that despite the successful ratification of Elon Musk’s 2018 pay package at the 2024 Annual Stockholders’ Meeting, shareholders were still coerced and uninformed. The lawyers pointed to Musk’s comments that he would reconsider growing Tesla’s AI efforts if his share of the company was less than 25%, among other things, as a sign of shareholder coercion. 

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“As the Ratification vote approached, the press repeatedly reported that rejecting the Ratification would cause Musk to execute his threats to divert critical corporate opportunities from Tesla. These circumstances rendered the Ratification vote coercive—and thus invalid—by making it impossible for stockholders’ to exercise their franchise free of undue external pressure created by [Musk] that distract[ed] them from the merits of the decision under consideration,’ and ‘forc[ing] [stockholders] into a choice between a new position and a compromised position for reasons other than those related to the economic merits of the decision,’” Tornetta’s lawyers wrote. 

They also argued that investors were uninformed since Tesla director Kathleen Wilson-Thompson, who served as the Special Committee of the company’s Board of Directors, was conflicted because a substantial portion of her net worth is tied to the EV maker. “Wilson-Thompson has realized a pre-tax total of approximately $62[M] from the exercise of [Tesla] equity award. Her Tesla shares received through grants were worth ~$150M upon her Committee appointment, which she admits ‘is a meaningful portion of her net worth’… Wilson-Thompson is conflicted just like Denholm,” Tornetta’s lawyers wrote. 

A hearing for the motion to revise the Delaware Court’s initial opinion on the matter is scheduled on August 2, 2024. A number of Tesla shareholders who voted in the ratification of Musk’s pay package have noted that they intend to attend the hearing if it is public

Rochard Tornetta’s lawyers’ filing (via PlainSite) can be viewed below. 

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gov.uscourts.delch.2018-0408-KSJM.405.0 by Simon Alvarez on Scribd

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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 owners surpass 8 billion miles driven on FSD Supervised

Tesla shared the milestone as adoption of the system accelerates across several markets.

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Credit: Tesla

Tesla owners have now driven more than 8 billion miles using Full Self-Driving Supervised, as per a new update from the electric vehicle maker’s official X account. 

Tesla shared the milestone as adoption of the system accelerates across several markets.

“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average. 

The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.

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At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.

Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.

As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.

During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.

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The Boring Company’s Music City Loop gains unanimous approval

After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project.

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(Credit: The Boring Company)

The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown. 

After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.

Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.

The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post. 

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Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.

“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said. 

The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.

Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”

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Tesla announces crazy new Full Self-Driving milestone

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

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Credit: Tesla

Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.

The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.

On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.

Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.

Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.

This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.

The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.

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