The Porsche Taycan is an uncompromising electric sports sedan. Built on a platform designed specifically for EVs and tapping into electric motor tech that powered past flagship vehicles like the 918 Spyder, the Taycan represents the best of what Porsche can offer today, in an unapologetically electric package.
It is then unsurprising to see that with the Taycan’s arrival, the long-debunked narrative of the “Tesla Killer” was reborn. American online auto information resource Edmunds, for one, proudly declared in a tweet that after experiencing the Taycan that its team “got out with a singular thought: This is a Tesla Killer.” The company then proceeded to state that the Taycan has a “driving ability that no Tesla can match,” especially considering that its track-capable and its optimal 0-60 mph launches could be repeated “endlessly.”
While statements such as these foster both healthy and unhealthy debates among the EV and auto community, it is pertinent to highlight the simple fact that the Taycan is NOT a “Tesla Killer.” Instead, it could very well be the first genuine attempt from an experienced premium automaker to design and release an electric vehicle that is, in more ways than one, a potential “killer” of the internal combustion engine. This makes the Taycan the strongest vehicle yet that could accompany Tesla in Elon Musk’s overall plan to transition the transportation sector away from fossil fuels.
The Taycan, particularly the Turbo S variant, is an honest-to-goodness driver’s car. The German automaker made it clear that when it was designing the vehicle, it made sure that the “soul” that is so valued among the traditional car community is present in the electric four-door sedan. This is evident in the way the company tuned the driving dynamics of the car, which was tuned in the Nurburgring. The Taycan is just like any other Porsche: it’s the type of car that you take up to the mountains on a weekend drive. It just happens to be electric.
During its Annual Press Conference earlier this year, Porsche emphasized how the Taycan is the start of its own transition to a full embrace of electric mobility. The company’s executives acknowledged that more electric vehicles are coming, and it is transitioning its fleet as much as possible to do so. Porsche is serious enough in this initiative that it quite literally changed the face of its historic Zuffenhausen factory to make way for the Taycan and its other upcoming electric cars.
Perhaps what really makes the Taycan a compelling vehicle is the fact that unlike other EVs from veteran carmakers that have come before it, the four-door is not an exercise in compromise. It represents a real effort by an experienced automaker to release an EV that is superior to some of its own ICE-powered creations. A look at the vehicle’s specs shows that apart from its range, which is still far from Tesla’s level, the Taycan is a solid electric car. It could even be stated that with the Taycan’s arrival, it would be pretty silly to choose an equally-priced high-performance car with an internal combustion engine.
Elon Musk has always stated that Tesla’s mission is to accelerate the transition of the auto industry towards sustainability. The company has so far been able to accomplish this by introducing vehicles like the Model S and Model 3, both of which are simply better than the available competition. Yet Musk has also been honest about his belief that Tesla could not push the auto industry towards sustainability alone. It needs other automakers to join the fray by offering excellent electric vehicles that beat out gas cars in key metrics. The Taycan could very well be the first in this list.
Tesla has long been a polarizing company, and it will likely continue to be polarizing for years to come. Regardless of how successful the company gets, or how well vehicles like the Model 3 and Model S perform on the market, there will always be car buyers that will refuse to purchase one of its vehicles based on one reason or another. Accelerating the world’s transition to sustainability is a mass effort, and the auto industry would need a lot more vehicles like the Porsche Taycan to accomplish this.
Overall, could the Taycan potentially steal some customers from Tesla’s higher-priced vehicles like the 345-mile, ~$100,000 Model S Performance? Perhaps, if buyers are in the market for a ~$150,000 car that drives like a classic Porsche, and if they are more open to a high-performance EV with 279 miles of range (under the WLTP standard) and less interior space. But will the Taycan affect the Model 3 in any way? Absolutely not.
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
