Tesla owner Lily Fetterer shared her story of how she began racing her Model 3. It was a chilly September Sunday morning in San Francisco when I met with Lily to explore the city in her silver Tesla Model 3. Lily, a member of the Tesla Owners Club of East Bay, had kindly offered to give me a tour of the city, including a few places to look out over the bay.
The morning fog showed up to join us for most of the day, and as I climbed hills and mountains, well, they seemed like mountains to me, I got to know Lily. One of the first things I noticed about her Model 3 was that it had TeslaCorsa 24 emblazoned on both the driver’s and passenger’s side doors.
TeslaCorsa, sponsored by Unplugged Performance, was founded to encourage Tesla owners to experience the limits of their cars in a professionally managed race track environment. Lily is a race car driver who shared her story with me.
I asked her how she got into racing and how long she’d been racing. Lily and her family are fans of Tesla and already owned a Model X.
“The plan was to get the Model 3 as soon as it came out, and that’s exactly what we did. The 2018 model 3 RWD long range is the car that I race in.”
“I tried to find new hobbies to pursue that would be safe given Covid restrictions. I love driving fast in my Tesla, so I was ecstatic when I found TeslaCorsa while browsing the web.”
“I joined for the 10th TeslaCorsa event at Laguna Seca. They told me that if I could do that course in two minutes, I might have some talent that would be worth pursuing. I got two minutes and four seconds, which was close enough. I’ve been racing ever since.”
Lily told me it was a bit intimidating as a middle-aged woman who races in an EV.
“I am often the only female racing. At my first Tesla Corsa event, another female was also trying it out for the first time with her boyfriend. At other events, racers have had their parents participate too. I love how it’s an experience that people want to share with others. Racing is something that many can enjoy, not just hard-core racers.”
Lily pointed out that a big reason for her success is the great support she gets from other racers.
“Tom Mak, one of the best TeslaCorsa racers, has been my mentor throughout the process. He’s always showing me videos, giving me feedback, riding with me, and encouraging me to be better.” Steven Case has also driven with me and driven my car, so I can understand how to push my car to its limits”
Around the same time Lily began racing, she got involved with the Tesla Owners Club of East Bay.
“I absolutely love the club. I think they do so many wonderful activities,” she told me. Lily noted that there are a lot of great Tesla clubs in the area but what she likes most about the East Bay club is that they have a lot of family-friendly events.
“We did a cruise to the top of Mount Diablo recently. They have a lot of fundraisers as well. I think that’s the thing I love the most. They give back to the community. It’s not just about getting people together and having fun, but it’s about giving back. At almost every event, there’s a donation aspect.”
“The Tesla Owners Club of East Bay frunk or treat event is coming, and I hope to win that competition. Halloween is my favorite holiday, and I love The Nightmare Before Christmas. I’m a huge addict, so my house and my frunk will be decked out with that theme. The frunk or treat will be at Ehrenberg cellars in Livermore so the kids will have candy, and the parents will have wine. “
“There’s also an upcoming TOEB event on November 18th where club members will help us change our cabin air filters, and in exchange for the help, we bring a bag of groceries to donate for less fortunate people. “
I asked Lily to share her advice for any women and girls who may want to get into racing.
“Don’t be afraid to give it a try. It’s different than driving on a freeway because you have tight turns, corners, and walls. Not all tracks are the same, so you can work your way up to trying more difficult tracks later. Racing is exhilarating, and if you like skiing or any speed activity, you’ll probably enjoy it too. I think that when people give it a try, they’ll find themselves hooked.”
Disclosure: Johnna is a $TSLA shareholder and believes in Tesla’s mission.
Your feedback is essential. If you have any comments or concerns or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.
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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
