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Tesla blocked (again) in Connecticut after judge rules in-state activities illegal
Connecticut state court judge Joseph M. Shortall disagreed with Tesla’s “educational venue” defense of a vehicle display gallery in Greenwich, concluding in a December 6, 2018 ruling that its business activities are illegal under state law. The gallery, opened in October 2016, was ordered in May 2017 to “cease all functions” by Connecticut’s Department of Motor Vehicles (DMV), claiming it was operating its 340 Greenwich Ave. location like a dealership, an activity requiring a license for which Tesla is not eligible. Tesla subsequently filed a lawsuit primarily arguing the definition of sales-oriented terms; however, the Superior Court of the New Britain Judicial District affirmed the DMV’s ruling, beginning a period wherein Tesla may file an appeal.
Connecticut state law forbids direct vehicle sales by vehicle manufacturers in favor of a “franchise system”, a set of laws meant to protect independent car dealerships from predatory practices of larger car manufacturing companies. Elon Musk, Tesla’s CEO, has made it a company policy not to sell their electric vehicles to independent dealerships primarily because he believes franchises face a “fundamental conflict of interest” when selling both gas and electric vehicles. Also, Tesla would miss an important opportunity to educate potential buyers about its products in a traditional dealership setting.
“Existing franchise dealers have a fundamental conflict of interest between selling gasoline cars, which constitute the vast majority of their business, and selling the new technology of electric cars. It is impossible for them to explain the advantages of going electric without simultaneously undermining their traditional business. This would leave the electric car without a fair opportunity to make its case to an unfamiliar public.” – Elon Musk, October 22, 2012
It was the “educational” angle that the company took while operating their Greenwich location, claiming that prospective buyers were merely being given information about their unique technology along with a test drive opportunity. Any sales which followed were conducted online and delivery was out-of-state. The DMV, and later the Superior Court judge, disagreed, citing related activities conducted by the Greenwich team that were more sales-specific, such as commissions and bonuses tied to sales resulting from discussions at the gallery and the ability of Tesla to reclaim vehicles if they weren’t picked up by the customer within one week of delivery.
In the Superior Court’s ruling, decided by Judge Trial Referee Joseph M. Shortall, the term “selling” was also agreed to be all-inclusive of advertising and merchandising activities, a definition promoted by the Connecticut Automotive Retailers Trade Association (CARA). The association has been on the front-line of debates involving franchise systems, arguing that they ensure fair competition while demanding that Tesla comply with existing laws and license to independent dealerships as has been the tradition for decades. CARA was the party responsible for initiating the complaint about Tesla’s activities in the state, prompting the DMV’s investigation and order.
With regard to the recent ruling, a Tesla spokesperson tells Teslarati, “Tesla disagrees with the judge’s decision, and we stand by our mission to educate the public and raise awareness about the benefits of EVs because getting more EVs on the road is the right thing to do for the environment and for the battle against climate change.” Although the issue driving CARA’s objection surrounds the issue of “sales”, Tesla does not sell any vehicles at their Greenwich location.
Since Tesla does not license their vehicle sales to independent dealers, the company position is that its business should not be subject to the same laws as manufacturers with licensed franchises. As seen by this latest court ruling, Tesla’s position isn’t exactly a shared one. To date, the company has not been successful in convincing Connecticut’s legislature to revise the direct-sales laws and with organizations like CARA lobbying against such changes, the battle certainly seems uphill.
Connecticut state legislation to amend the direct-sales ban has been proposed twice before, both times stalling from lack of votes. Despite the potential for increased sales tax revenue and jobs from a distribution facility that would come from a Tesla presence in the state, CARA and the state legislators that are friendly to its positions are on the winning side of the matter, even if its tactics to paint a negative picture of the company are questionable. According to Tesla’s former vice president of business development, Diarmuid O’Connell, in a letter to state legislators, CARA previously sent secret shoppers into the Greenwich gallery to sway Tesla employees into illegally selling a vehicle from the storefront. The attempt, of course, failed.
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
