Tesla owners are no stranger to aftermarket modifications. Whether they are performance-based or cosmetic, owners of the electric vehicles are always looking for ways to set their cars apart from the others. While the cosmetic modifications are usually pretty simple because they only change the appearance of a vehicle, the performance adjustments are a bit more complicated because they completely revise the way the system operates. Tesla decided to put a stop to the performance revisions altogether by releasing a software update that would inhibit the simple plug-in systems from functioning correctly.
Thinking about it, it reminded me of a previous newsletter that I wrote a few months ago. I talked about how Tesla was blocking salvaged vehicles from Supercharging in an attempt to make them less appealing to those who were interested in buying them and fixing them up for a discounted price. While it was a great project for some people, Tesla had to realize that salvaged vehicles are rarely fixed “perfectly” and that they usually have some small issues even after they are deemed to be functional. Tesla had to think about themselves first, and for a good reason. If someone were to crash a salvaged Tesla that was not wholly “fixed,” it would be blamed on them and not on the person who attempted to repair the vehicle. The headlines would blame the company, and it would add to a long list of misunderstandings with Tesla’s cars. It was merely smarter for them to try and make the vehicles less appealing through no Supercharging.
Tesla, when you think about it, really had to do the same thing with these aftermarket upgrades. While the company released a $2,000 Acceleration Boost for the Model 3 a few months back, they have ultimate control over what the vehicle’s new capabilities are. They decide how much extra horsepower to give the car, and how much speed the car should be capable of. This puts the risk into the company’s hands as much as the driver’s hands.
If a third-party company comes along and decides to manufacture a simple plug-in that will take the performance of a Tesla to new heights, it is sure to attract some buyers. Owners of the Performance variants of the car are surely going to be more interested in upping the already lightning-fast speeds the vehicle is capable of. While this is all good and fun for the owners, Tesla, as a company, assumes a lot of risks, and it is only reasonable to think that stopping it is the best strategy.
Think about a scenario here: Imagine a Tesla Model 3 Performance owner deciding that what their car is capable of is not enough anymore. They decide to go online and purchase a plug-in for their Model 3 that will increase acceleration and top speed, and they choose to put it to the test one evening. While traveling at speeds over 130 MPH, the driver loses control of the car and crashes into another vehicle, hurting someone in the car.
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The first thing that is synonymous with Teslas and car accidents is the overwhelming flood of people who immediately think the car was on Autopilot. Mainstream media outlets will talk about how the car could have been traveling on Autopilot and TSLAQ will immediately eat it up without any confirmation. The NHTSA would be the only agency that would be able to tell if the car was traveling on Autopilot through an investigation. However, that could take days, weeks, or even months to happen.
Then, you’d have some people complaining about Tesla’s performance standards, and why some of their cars equip unnecessary amounts of speed and acceleration. Not that it is anyone’s business, but when someone buys a car because it is fast, they more than likely know that they are putting themselves at risk, especially if they chose to drive it quickly. This argument would more than likely be small and not based off of much logic, to begin with, because fast cars exist everywhere and every car company makes them in some form or another.
However, Tesla would have to deal with the issues and speculation that would suggest that their cars are too fast for the owner’s good. The company is already under a microscope because every time a Tesla is in an accident, it seems like someone somewhere is talking about it.
These aftermarket plug-ins are also tricky because while the company that makes them probably knows what they are capable of, they are not entirely “compatible” with a Tesla powertrain to begin with. Only Tesla knows everything that goes into their cars and the software that helps them function. There really isn’t much of a reason to gamble on ruining the powertrain of a Tesla all for a few extra miles per hour, but that is just me. I would think that it is too much of a risk, and I wouldn’t want my hard-earned money going to waste, especially if a plug-in can compromise the way my vehicle works.
I think the update to keep these plug-ins from functioning is entirely understandable. Tesla is playing damage control. Ultimately, anything that happens to malfunction on the plug-in, or if the driver were to make an error and it would result in an accident, the blame would go onto Tesla.
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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
