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Elon Musk’s SolarCity trial day 1: Arguments, quotes, and testy exchanges
As he faced a lawsuit from Tesla shareholders about the SolarCity acquisition in 2016, Elon Musk was firm in the notion that he didn’t have any sway over the company’s board when it approved the deal. Musk highlighted this point on Monday, as he testified in a Delaware courtroom as part of a lawsuit filed by Tesla shareholders, who alleged that both the CEO and the company’s board breached fiduciary duties when they decided to acquire SolarCity.
When SolarCity was acquired by Tesla, Musk was the chair of the company and its largest shareholder. The CEO later noted that the acquisition was a “no brainer,” and it was completed with over 85% of TSLA shareholders voting in favor of the deal. Considering Musk’s ties to SolarCity and the solar installer company’s financial fluctuations at the time, however, critics argued that the deal was essentially a bailout. Musk was also accused of vowing retaliation against any Tesla director who voted against the acquisition.
According to Musk, Tesla’s now-Chairwoman Robyn Denholm was the one who set the final price of the deal, as well as the terms of the SolarCity acquisition. Musk noted that he was kept abreast on the basic progress of the deal, but he was otherwise recused. The CEO also stated that the notion of him controlling Tesla shareholders was implausible. “I don’t think it’s possible to control” big institutional investors like Fidelity and T. Rowe Price,” Musk said.
Things heated up when Musk started responding to questions from Randy Baron, the plaintiff’s lawyer who had already traded barbs with the CEO in the past. From the start, Baron gave Musk “fair warning” that “we have a long way to go,” and that his questioning would probably take all day and well into Tuesday. Musk joked, stating that he could tell the questioning would be long due to the size of Baron’s binder.
As part of his cross-examination, Baron showed a slide showing how far below forecasts was the amount of solar energy Tesla has deployed since its acquisition of SolarCity, especially as the solar provider was one of the US’ most dominant players in the residential solar market before it was integrated with the EV maker. Musk responded that 2017 to 2019 were the “three hardest years of (his) entire career” and that he was working hard to save Tesla at the time. After this, the pandemic shut down government permitting offices, which was a challenge to the US residential solar market. When Baron warned him that things would be really slow if Musk kept elaborating on his answers, the CEO noted that “some of your questions are tricky and deceptive.”
Musk and Baron’s exchanges only got more heated as the day wore on. When Baron asked Musk if he ever “rage fired” anyone or treated people with derision, the CEO noted that he gives “clear and frank feedback which may be construed as derision,” but he did not “rage fire” anyone. The lawyer then played several clips of Musk’s deposition showing his tense exchanges with the CEO. “That was openly derisive not for some benefit of Tesla, but because you didn’t like what was happening, correct?” Baron asked in an apparent attempt at provoking Musk.
Musk later said that he does not respect Baron because he worked for Milberg Weiss, a law firm whose partners were imprisoned for paying kickbacks to expert witnesses and plaintiffs; and Robbins Geller, whose partners also ended up incarcerated. “You were mentored by criminals. Then you continued to be mentored by criminals and that is why I do not respect you… I have great respect for the court, but not for you. I think you are a bad human being,” Musk said, later accusing Baron of being a “professional bully” who used his words to cut. “That’s very sad,” the CEO remarked.
Other loaded exchanges between Musk and Baron happened after the lawyer asked the CEO if he does not like it when people tell him what to do. Musk calmly responded that this was not exactly the case. “In fact, if I’m not mistaken, I view critical feedback as a gift,” Musk stated. This point could be confirmed by Musk’s reception to critical feedback from automotive veteran Sandy Munro, who heavily criticized the Model 3’s design in a teardown. Musk also added that if it were up to him, he would rather just work as an engineer.
“To be honest, I don’t want to be the boss of anything. I won’t want to be CEO. I tried not to be CEO of Tesla, but I had to, or it would die. I rather hate being a boss. I’m an engineer,” Musk said.
Amidst Musk’s exchanges with Baron, however, the CEO’s point was clear. SolarCity, like any aggressive startup in a high-growth industry, had a tendency to have negative cash flow. Musk noted that Amazon was an example of this, and so was Tesla, and yet, both companies are thriving now. Simply put, the CEO argued that SolarCity’s financial strains when it was acquired were not out of the norm, as even Tesla was in the same place at the time, and if needed, the solar company could have just raised capital.
“Daring enterprises burn cash and take risks to achieve something worthwhile, or even great. Tesla was subject to those risks as much as SolarCity was, but that doesn’t mean they weren’t both worthy ventures. So can’t we acknowledge that even my once-stumbling solar efforts are starting to bear fruit?” Musk noted.
The first day of Elon Musk’s SolarCity trial was adjourned until 9:15 a.m. ET on Tuesday. The CEO is expected to continue his cross-examination with the plaintiff’s lawyer.
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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
