Tesla Autopilot continues to be taboo to many people, and it is understandable. In a world where people have absolute control over everything in their life, it is tough to assume many people would be comfortable with their car driving itself. But the issue is, many people, countries, and entities are not willing to give the self-driving characteristic a chance.
Despite Autopilot’s impressive performance figures, Germany announced this week that Tesla could not use the word “Autopilot” in any advertising, because it still requires the driver to remain attentive during its use. But the problem is, Autopilot, in any sense of the word, doesn’t state the vehicle in question can operate entirely on its own. Tesla’s description of the function also requires the driver to keep their hands on the wheel at all times in case of an emergency.
But the issue really comes down to the taboo subject of self-driving vehicles. To my surprise, many people outside the Tesla community are still uninformed and misguided on Autopilot’s capabilities. Every time one of my friends or family members see a Tesla, they automatically think it’s driving itself, and the operator is sitting in the passenger seat playing on their phone.
We all know that Autopilot doesn’t work that way. And even though Tesla is head and shoulders above the competition in terms of self-driving capabilities, they still can’t drive themselves, but the company has never indicated that their vehicles are fully autonomous.
The Tesla community knows that.
However, there are groups of people and even entire countries that still seem to believe that Tesla’s Autopilot claims are unrealistic and “misleading.” In reality, the company’s cars do exactly what the electric automaker claims they do.
This is not the first time a country has thrown Autopilot away because Israel altogether outlawed any use of the capability in the past. However, after revisiting the case, Israel government officials got a more concrete understanding of how Autopilot works, and they allowed the use of the feature by vehicles that were capable of using it.
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In my opinion, everyone who is skeptical of Autopilot, especially those who are government officials, should be required to undergo a crash course of the feature and take a ride in a Tesla vehicle while it is using the characteristic.
However, there is something even more surprising to me personally about all of the taboo there is surrounding Autopilot. More of it is from Tesla skeptics and TSLAQ, but you rarely hear about Autopilot navigating through tricky road layouts on mainstream media outlets. It is more about Tesla vehicles that were using Autopilot, ending up in accidents.
Teslarati has covered a series of examples of Autopilot navigating plenty of interesting terrains and situations with relative ease. We cover accidents, too, but we clarify how they occurred. For example, this past week, a Model S collided with a State Trooper and an Ambulance. However, the driver was under suspicion for DUI, although it has not yet been confirmed.
Autopilot is a way for drivers to take the stress out of driving. I know, personally, that I don’t like driving very much. I was in two car accidents in high school, I was not the driver in either instance. Along with seeing accidents on I-95 near Baltimore and other winding backroads near my house, drivers scare me, and I rarely trust anyone operating a car that I’m in.
I would feel safer if Autopilot was operating every car on the road. Not only would the cars get better every single day because of Tesla’s Neural Net, but people wouldn’t be so unpredictable with their driving behavior, and I genuinely believe we all would be much better off.
In the past, technological advancements have been second-guessed. At one time, NASA launched a spaceship to the Moon, and it used less technology than an iPhone. Things advance and opinions change on something. People are going to eventually warm up to the idea of a car driving itself, and there is a chance that even the most vocal skeptics of the self-driving car movement will ultimately utilize the capability to get them from Point A to Point B.
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News
Tesla crosses major Unsupervised Self-Driving milestone
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.
News
Tesla Robotaxi will be a 24/7 service: here’s when
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.
News
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
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.