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Tesla destroys German critic’s electric car prejudice after Model 3 test drive
German automotive veteran Nando Sommerfeldt has not had good experiences with electric cars. At one time, the electric vehicles he was testing ended up running out of charge, making him stranded in the middle of a trip. Other vehicles proved too slow to charge, testing his family’s patience. Sommerfeldt has reservations about electric cars, even a prejudice, if you may, but it only lasted until he drove a Tesla Model 3.
The Silicon Valley-based electric car maker sent a bold message to the auto veteran, offering to change his mind about electric cars. “We would like to convince you otherwise. Our impression is that you simply have not tested the ‘right electric cars’ yet,” Tesla wrote. That’s a bold statement, and Sommerfeldt opted to take the offer. Tesla provided the EV critic with a Model 3 Performance, one of its latest vehicles that currently sells for 69,000 euros in Germany.
Being “spoiled” by vehicles from premium manufacturers such as Mercedes-Benz and BMW, Sommerfeldt was largely unimpressed with the build quality of the Model 3. In his review, which was published at German publication Welt.de, Sommerfeldt complained about the panel gaps in the car, and he argued that while the white seats of the Model 3 were good, they do not compare favorably to the seats of the Audi e-tron. “The workmanship of body, interior, actually everything, is not up to premium standards,” he wrote. Nevertheless, with his evaluation of the vehicle’s build quality out of the way, the EV critic started driving the electric sedan.
It took 50 kilometers (31 miles) before his prejudices against electric cars started to fade. Even with the electric revolution underway today, there is still a persistent belief that EVs don’t drive as well as the best gas-powered vehicles on the market. “What nonsense. The Model 3 drives terrific,” Sommerfeldt declared. German industry expert Ferdinand Dudenhöffer from Center Automotive Research (CAR) highlighted Sommerfeldt’s observations. “The car is much better than all models of electric competition. The technical lead is easily four to five years. Range and driving pleasure are unmatched,” he said.
Elaborating on his experience, Sommerfeldt noted that the Model 3 feels like a sports car, an “extremely fast sports car.” This is quite notable considering that the vehicle is a family car at its core. But it’s not just the vehicle’s driving dynamics that impressed the EV critic. In terms of bleeding-edge technology inside the car, the Model 3 does not disappoint either. Industry expert Stefan Bratzel of the Center of Automotive Management (CAM) noted that the migration of car buyers from traditional vehicles to electric cars like Tesla is due to veterans being unable to offer similar innovations. “The future is offered here (at Tesla), which the Germans have not been able to do so far,” Bratzel said.
Beyond the excellent driving dynamics and the technology in the Model 3, perhaps what really removed the EV critic’s prejudice against electric cars was Tesla’s Supercharger Network. During his time with the vehicle, Sommerfeldt took his family out on a road trip once more, and this time around, they did not have to wait for hours on end for their vehicle to charge. Using one of Tesla’s Superchargers, Sommerfeldt and his family opted for a quick coffee and ice cream break, and by the time they returned to the Model 3, it had already gained 300 km (186 miles) of additional range. Sommerfeldt found the Supercharger Network’s design well-placed for long trips, and the Tesla community as a whole pleasant to interact with.
Dudenhöffer noted that among electric car makers, Tesla is the one that really thought about the big picture when they released their vehicles. Teslas, while not capable of charging at speeds similar to a gas-powered car yet, can charge at their owner’s homes (allowing drivers to leave with a “full tank” every day), and the company has backups in place if the Supercharger Network is unevailable. “Right from the beginning, the company had a clear plan of where its customers’ traffic flows. The Tesla owner can also refuel at all the other pillars of this country. But first of all, it would probably be too slow for him. And second, he does not need them,” he said. This is a particularly notable point for Sommerfeldt, as he admits to having deep range anxiety issues due to his past experiences with EVs. These issues, he found, were nonexistent with the Model 3.
With range anxiety gone thanks to the Supercharger Network and its contingencies, Sommerfeldt noted that Tesla drivers could trust their vehicles once more. And that, for Germany’s car buying public, at least, is a very big deal. “This Tesla destroys all my prejudices against the electric car,” he wrote.
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
