News
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.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
