News
Tesla investors were “coerced” and “uninformed” during Musk pay ratification vote: lawyers
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.
⚖️ T(h)ornetta
Hearing for the motion to revise the initial opinion now scheduled for August 2nd (rumors for 8/8 were wrong)
Plaintiff's attorney filed his opposition to this, his arguments are
– The court cannot reopen the closed trial record to consider new evidence
– The… pic.twitter.com/mz3wyAUy57— Ale?andra Merz (@TeslaBoomerMama) July 15, 2024
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.
“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.
gov.uscourts.delch.2018-0408-KSJM.405.0 by Simon Alvarez on Scribd
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Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
News
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.