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Tesla gets big legal wins as Musk finds himself at risk of libel over Thai caver controversy

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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.

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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.”

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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. 

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’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

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Credit: TESLARATI

Turn-by-turn navigation is not new technology.

For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.

Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

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Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.

Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.

Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.

But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.

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This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.

More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.

It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?

Multiple Data Sources

First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.

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Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.

Persistent Learning

FSD seems to struggle with persistent learning from driver interventions.

Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.

This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.

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I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.

Reasoning, Scaling, and Intuition

Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.

Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.

Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.

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Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.

Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.

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Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK

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A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”

Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:

“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”

The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.

The Greater Manchester Police Department then added:

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“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”

The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.

Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.

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Apple is developing the missing link for Tesla to get CarPlay: report

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Credit: Michał Gapiński/YouTube

A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.

Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.

A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.

CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.

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Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:

The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.

Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.

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This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.

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