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Tesla gets big legal wins as Musk finds himself at risk of libel over Thai caver controversy
Tesla’s legal troubles got a bit lighter this week, while Elon Musk seemingly gave himself yet another self-inflicted blow. Earlier his week, Tesla won a dismissal of a securities fraud lawsuit over the company’s progress in the production of the Model 3. The company also won a court case against the Ontario government over the state’s cancellation of EV rebates for Tesla customers.
The securities fraud lawsuit against Tesla alleged that the company and its executives knowingly knew that they could not meet their self-imposed goals of producing 5,000 Model 3 per week by the end of December 2017. The lawsuit’s plaintiffs argued that despite knowing these, Tesla still gave the impression that it was equipped to meet its production goals. This caused the stock to become volatile, resulting in losses for some shareholders.
In a decision that was made public on Monday, U.S. District Judge Charles Breyer noted that while it was true that the electric car and energy company was not able to meet its self-imposed production goals, “federal securities laws do not punish companies for failing to achieve their targets.” Tesla, for its part, noted that its difficulties in reaching its manufacturing targets for the Model 3 were caused by bottlenecks in its Nevada Gigafactory and its main factory in Fremont, CA.
“Plaintiffs are correct that defendants’ qualifications would not have been meaningful if defendants had known that it was impossible for Tesla to meet its stated production goals, not merely highly unlikely. The facts plaintiffs have put forth do not tend to establish that this was the case,” Judge Breyer wrote.
Tesla also won a case it filed against the Ontario government over the cancellation of EV rebates for Tesla’s electric cars. The revised EV rebate program was rolled out by the new Ontario government, and it singled out Tesla’s customers from qualifying for rebates of up to $10,640. In a ruling on Monday, Judge Frederick Myers of Ontario opted to strike down the transition program rolled out by the new government. A spokesperson for Tesla issued a statement to Reuters welcoming the Ontario judge’s ruling.
“Tesla only sought fair treatment for our customers, and we hope the Ministry now does the right thing by delivering on its promise to ensure all [electric vehicle]-owners receive their incentives,” the Tesla spokesperson said.
Unfortunately, this week also saw Elon Musk getting baited once more on Twitter over his previous comments about British cave explorer Vernon Unsworth, who was critical of Musk’s efforts to help a soccer team stranded in a flooded Thai cave system last July. After receiving requests online that he help in the Thai rescue efforts, Musk, together with SpaceX and Boring Co. engineers, developed a mini-submarine that the stranded children could use to escape the flooded cave system. Unsworth was dismissive of the mini-sub, stating that it would not work and suggesting that Musk “stick his submarine where it hurts.” In anger, Musk retorted, calling the caver a “pedo guy” on Twitter. Musk later deleted his tweet and apologized to Unsworth.
Just yesterday, Musk was on Twitter when he got baited into discussing Unsworth and his previous incendiary comments once more. At one point, Musk even noted that “You don’t think it’s strange he hasn’t sued me? He was offered free legal services.”
As it turns out, a libel lawsuit was indeed on the way. Unsworth is reportedly preparing to file a civil complaint for libel against Musk, according to a letter from the caver’s lawyer shared to CNBC. The attorney’s letter described Musk’s tweets as “false and defamatory.” The lawyer also urged Musk’s legal counsel to contact him to avoid litigation and correct the reportedly false statements. The letter was dated August 6, just a day before Musk posted his fateful “funding secured” tweet.
While Musk faces another possible lawsuit over his Twitter activity, Tesla continues to pursue its Model 3 ramp. The production of the electric car seems poised to hit record levels this quarter, with analyst Romit Shah of Nomura Instinet stating that Tesla could produce as many as 65,000-70,000 Model 3 this quarter. Baird analyst Ben Kallo is also optimistic about Tesla’s numbers this Q3, stating that the company’s fundamentals are “underappreciated” amidst the noise from the controversy resulting from Elon Musk’s go-private initiative.
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, 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 let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.